From 50998fe803b6c48f46dab4a8cc930d8c33a41b01 Mon Sep 17 00:00:00 2001
From: Natalie Fiann <Natalie.Fiann@dbtlabs.com>
Date: Fri, 30 Aug 2024 11:41:12 +0100
Subject: [PATCH 001/200] Updated constraints doc following slack

---
 .../resource-properties/constraints.md        | 61 +++++++++++++++++++
 1 file changed, 61 insertions(+)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index b8111ef0adb..74078d7541f 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -303,6 +303,67 @@ select
 
 </File>
 
+### Custom constraints on models for advanced configuration of tables
+
+In dbt Cloud, you can use custom constraints on models for advanced configuration of tables. Custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a  Create Table As Select (CTAS).
+
+Masking policies conceal sensitive data from unauthorized access, while still allowing authorized users to retrieve the data during query execution.
+
+Contracts and constraints support tag-based masking policies using the following syntax:
+
+<File name='models/constraints_example.sql'>
+
+```shell
+
+models:
+
+- name: my_model
+config:
+contract: {enforced: true}
+materialized: table
+columns:
+    - name: id
+    data_type: int
+    constraints:
+        - type: custom
+        expression: "tag (my_tag = 'my_value')" #  A custom SQL expression used to enforce a specific constraint on a column.
+
+```
+
+</File>
+
+Using this syntax requires defining all the columns and their types as it’s the only way where to send a create or replace `<cols_info_with_masking> mytable as ...`. It’s not possible to do it with just a partial list of columns.
+
+To generate a YAML with all the columns, you could also use `generate_model_yaml` from [dbt-codegen](https://github.com/dbt-labs/dbt-codegen/tree/0.12.1/?tab=readme-ov-file#generate_model_yaml-source).
+
+Alternatively, you can add a masking policy without tags:
+
+<File name='models/constraints_example.sql'>
+
+```shell
+
+models:
+  - name: my_model
+    config:
+      contract: {enforced: true}
+      materialized: table
+    columns:
+      - name: id
+        data_type: int
+        constraints:
+          - type: custom
+            expression: "masking policy my_policy"
+
+```
+
+</File>
+
+:::info
+
+Each data warehouse has its own set of parameters that can be set for columns in their CTAS statements. For example for [DBX](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) for [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema).
+
+:::
+
 </div>
 
 <div warehouse="BigQuery">

From dc70f56591115867f24672ef262d98e30e93558a Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 13:14:12 +0100
Subject: [PATCH 002/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 74078d7541f..7d1e5d0a9e5 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -307,7 +307,6 @@ select
 
 In dbt Cloud, you can use custom constraints on models for advanced configuration of tables. Custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a  Create Table As Select (CTAS).
 
-Masking policies conceal sensitive data from unauthorized access, while still allowing authorized users to retrieve the data during query execution.
 
 Contracts and constraints support tag-based masking policies using the following syntax:
 

From 1732a00296018a2c42410ed049f306fe0b906722 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 13:14:28 +0100
Subject: [PATCH 003/200] Update
 website/docs/reference/resource-properties/constraints.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 7d1e5d0a9e5..f3388febc43 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -312,7 +312,7 @@ Contracts and constraints support tag-based masking policies using the following
 
 <File name='models/constraints_example.sql'>
 
-```shell
+```yaml
 
 models:
 

From 9368790e51b9f8fde212a574e3298887b2da9954 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 14:40:01 +0100
Subject: [PATCH 004/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index f3388febc43..8129535eb72 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -331,7 +331,7 @@ columns:
 
 </File>
 
-Using this syntax requires defining all the columns and their types as it’s the only way where to send a create or replace `<cols_info_with_masking> mytable as ...`. It’s not possible to do it with just a partial list of columns.
+Using this syntax requires configuring all the columns and their types as it’s the only way where to send a create or replace `<cols_info_with_masking> mytable as ...`. It’s not possible to do it with just a partial list of columns. This means making sure the columns and constraints fields are fully defined.
 
 To generate a YAML with all the columns, you could also use `generate_model_yaml` from [dbt-codegen](https://github.com/dbt-labs/dbt-codegen/tree/0.12.1/?tab=readme-ov-file#generate_model_yaml-source).
 

From 3ac1d4d2822ac63474dc131426d60dc331983a0c Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 14:42:57 +0100
Subject: [PATCH 005/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 8129535eb72..956d03dfa72 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -357,7 +357,6 @@ models:
 
 </File>
 
-:::info
 
 Each data warehouse has its own set of parameters that can be set for columns in their CTAS statements. For example for [DBX](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) for [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema).
 

From 70460bbfd1a712c0387a236f1d7fe67a3a3a07c2 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 14:43:40 +0100
Subject: [PATCH 006/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 956d03dfa72..b181340f337 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -358,7 +358,6 @@ models:
 </File>
 
 
-Each data warehouse has its own set of parameters that can be set for columns in their CTAS statements. For example for [DBX](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) for [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema).
 
 :::
 

From 3ea40bd01a7cded1f7df68734c020f98ab197685 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 14:47:46 +0100
Subject: [PATCH 007/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index b181340f337..f4694c1875b 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -305,7 +305,9 @@ select
 
 ### Custom constraints on models for advanced configuration of tables
 
-In dbt Cloud, you can use custom constraints on models for advanced configuration of tables. Custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a  Create Table As Select (CTAS).
+In dbt Cloud, you can use custom constraints on models for advanced configuration of tables. For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
+
+Each data warehouse has its own set of parameters that can be set for columns in their CTAS statements. For example [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema)".
 
 
 Contracts and constraints support tag-based masking policies using the following syntax:

From fa43fff6590f3ac861dcdeafc1e3973980865c49 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 16:07:58 +0100
Subject: [PATCH 008/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index f4694c1875b..5af9c90528f 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -320,7 +320,7 @@ models:
 
 - name: my_model
 config:
-contract: {enforced: true}
+    contract: {enforced: true}
 materialized: table
 columns:
     - name: id

From 4a176427ed7df522a7c9cb751231f74cc350705a Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 16:08:25 +0100
Subject: [PATCH 009/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 5af9c90528f..f6098f08a2c 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -321,7 +321,7 @@ models:
 - name: my_model
 config:
     contract: {enforced: true}
-materialized: table
+    materialized: table
 columns:
     - name: id
     data_type: int

From 0d834a73ef0085ee42e681a68b3e1e6e61a5d89b Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 16:10:28 +0100
Subject: [PATCH 010/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index f6098f08a2c..5359327008d 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -322,7 +322,7 @@ models:
 config:
     contract: {enforced: true}
     materialized: table
-columns:
+  columns:
     - name: id
     data_type: int
     constraints:

From a8e26c4bab36051dfb4779a98d704779a2b5616d Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 16:12:23 +0100
Subject: [PATCH 011/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 5359327008d..082eae9f18d 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -324,7 +324,7 @@ config:
     materialized: table
   columns:
     - name: id
-    data_type: int
+      data_type: int
     constraints:
         - type: custom
         expression: "tag (my_tag = 'my_value')" #  A custom SQL expression used to enforce a specific constraint on a column.

From e6fe96b5b809552c32328a6cb5cca75bfdf0c6aa Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 16:14:11 +0100
Subject: [PATCH 012/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 082eae9f18d..1e56862fcec 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -325,7 +325,7 @@ config:
   columns:
     - name: id
       data_type: int
-    constraints:
+      constraints:
         - type: custom
         expression: "tag (my_tag = 'my_value')" #  A custom SQL expression used to enforce a specific constraint on a column.
 

From cdf0aded955f87f324091608a10d0eda4ff559d4 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 16:14:37 +0100
Subject: [PATCH 013/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 1e56862fcec..7d8895ad7d6 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -327,7 +327,7 @@ config:
       data_type: int
       constraints:
         - type: custom
-        expression: "tag (my_tag = 'my_value')" #  A custom SQL expression used to enforce a specific constraint on a column.
+          expression: "tag (my_tag = 'my_value')" #  A custom SQL expression used to enforce a specific constraint on a column.
 
 ```
 

From 9da9e5d34429a040ab68ec0ec7758199717eabe3 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 16:22:41 +0100
Subject: [PATCH 014/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 7d8895ad7d6..6f06d848fd8 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -310,7 +310,7 @@ In dbt Cloud, you can use custom constraints on models for advanced configuratio
 Each data warehouse has its own set of parameters that can be set for columns in their CTAS statements. For example [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema)".
 
 
-Contracts and constraints support tag-based masking policies using the following syntax:
+Here are a few examples of how to implement tag-based masking policies with contracts and constraints using the following syntax:
 
 <File name='models/constraints_example.sql'>
 

From 85abbd2e92bac540dbeb6ad94ce384c9c9ced458 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 16:29:48 +0100
Subject: [PATCH 015/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 6f06d848fd8..aaba6a3c851 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -341,7 +341,7 @@ Alternatively, you can add a masking policy without tags:
 
 <File name='models/constraints_example.sql'>
 
-```shell
+```yaml
 
 models:
   - name: my_model

From 03fc2a2f704a4617a0044006a1e34c3fca72cc78 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Fri, 30 Aug 2024 16:30:11 +0100
Subject: [PATCH 016/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index aaba6a3c851..6fe9b199c08 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -361,7 +361,6 @@ models:
 
 
 
-:::
 
 </div>
 

From 8851b141655181f4e17011cdd26a022718f4a26a Mon Sep 17 00:00:00 2001
From: Natalie Fiann <Natalie.Fiann@dbtlabs.com>
Date: Mon, 2 Sep 2024 16:29:05 +0100
Subject: [PATCH 017/200] Updated doc, moved section to new location

---
 .../resource-properties/constraints.md        | 116 +++++++++---------
 1 file changed, 57 insertions(+), 59 deletions(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 6fe9b199c08..d65398ae005 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -303,65 +303,6 @@ select
 
 </File>
 
-### Custom constraints on models for advanced configuration of tables
-
-In dbt Cloud, you can use custom constraints on models for advanced configuration of tables. For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
-
-Each data warehouse has its own set of parameters that can be set for columns in their CTAS statements. For example [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema)".
-
-
-Here are a few examples of how to implement tag-based masking policies with contracts and constraints using the following syntax:
-
-<File name='models/constraints_example.sql'>
-
-```yaml
-
-models:
-
-- name: my_model
-config:
-    contract: {enforced: true}
-    materialized: table
-  columns:
-    - name: id
-      data_type: int
-      constraints:
-        - type: custom
-          expression: "tag (my_tag = 'my_value')" #  A custom SQL expression used to enforce a specific constraint on a column.
-
-```
-
-</File>
-
-Using this syntax requires configuring all the columns and their types as it’s the only way where to send a create or replace `<cols_info_with_masking> mytable as ...`. It’s not possible to do it with just a partial list of columns. This means making sure the columns and constraints fields are fully defined.
-
-To generate a YAML with all the columns, you could also use `generate_model_yaml` from [dbt-codegen](https://github.com/dbt-labs/dbt-codegen/tree/0.12.1/?tab=readme-ov-file#generate_model_yaml-source).
-
-Alternatively, you can add a masking policy without tags:
-
-<File name='models/constraints_example.sql'>
-
-```yaml
-
-models:
-  - name: my_model
-    config:
-      contract: {enforced: true}
-      materialized: table
-    columns:
-      - name: id
-        data_type: int
-        constraints:
-          - type: custom
-            expression: "masking policy my_policy"
-
-```
-
-</File>
-
-
-
-
 </div>
 
 <div warehouse="BigQuery">
@@ -577,3 +518,60 @@ alter table schema_name.my_model add constraint 472394792387497234 check (id > 0
 </div>
 
 </WHCode>
+
+### Custom constraints on models for advanced configuration of tables
+
+In dbt Cloud, you can use custom constraints on models for advanced configuration of tables. For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
+
+Each data warehouse has its own set of parameters that can be set for columns in their CTAS statements. For example [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema)".
+
+Here's an example of how to implement tag-based masking policies with contracts and constraints using the following syntax:
+
+<File name='models/constraints_example.sql'>
+
+```shell
+
+models:
+
+- name: my_model
+config:
+    contract: {enforced: true}
+    materialized: table
+  columns:
+    - name: id
+      data_type: int
+      constraints:
+        - type: custom
+          expression: "tag (my_tag = 'my_value')" #  A custom SQL expression used to enforce a specific constraint on a column.
+
+```
+
+</File>
+
+Using this syntax requires configuring all the columns and their types as it’s the only way where to send a create or replace `<cols_info_with_masking> mytable as ...`. It’s not possible to do it with just a partial list of columns. This means making sure the columns and constraints fields are fully defined.
+
+To generate a YAML with all the columns, you could also use `generate_model_yaml` from [dbt-codegen](https://github.com/dbt-labs/dbt-codegen/tree/0.12.1/?tab=readme-ov-file#generate_model_yaml-source).
+
+Alternatively, you can add a masking policy without tags:
+
+<File name='models/constraints_example.sql'>
+ 
+```shell
+
+models:
+  - name: my_model
+    config:
+      contract: {enforced: true}
+      materialized: table
+    columns:
+      - name: id
+        data_type: int
+        constraints:
+          - type: custom
+            expression: "masking policy my_policy"
+
+```
+
+</File>
+
+

From 7fc710aa35dd444ca18ebddca666487d1f769d6a Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Mon, 2 Sep 2024 16:56:43 +0100
Subject: [PATCH 018/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index d65398ae005..7098a55e311 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -523,7 +523,7 @@ alter table schema_name.my_model add constraint 472394792387497234 check (id > 0
 
 In dbt Cloud, you can use custom constraints on models for advanced configuration of tables. For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
 
-Each data warehouse has its own set of parameters that can be set for columns in their CTAS statements. For example [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema)".
+Each data warehouse has its own set of parameters that can be set for columns in their CTAS statements. For example [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema).
 
 Here's an example of how to implement tag-based masking policies with contracts and constraints using the following syntax:
 

From 8f7cd16960c42f05dc1e054ea04b621d8aba18c3 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Mon, 2 Sep 2024 16:57:15 +0100
Subject: [PATCH 019/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 7098a55e311..301dd2f7ed0 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -529,7 +529,7 @@ Here's an example of how to implement tag-based masking policies with contracts
 
 <File name='models/constraints_example.sql'>
 
-```shell
+```yaml
 
 models:
 

From 43d6cf5de4dee15f8c04e387df3ac9a73927e707 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Mon, 2 Sep 2024 16:57:32 +0100
Subject: [PATCH 020/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 301dd2f7ed0..673af5277c4 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -556,7 +556,7 @@ Alternatively, you can add a masking policy without tags:
 
 <File name='models/constraints_example.sql'>
  
-```shell
+```yaml
 
 models:
   - name: my_model

From 8295508329a32349ec8c8f6cb11c6d03f297c433 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 3 Sep 2024 09:18:21 +0100
Subject: [PATCH 021/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 673af5277c4..09f5f6076e9 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -527,7 +527,7 @@ Each data warehouse has its own set of parameters that can be set for columns in
 
 Here's an example of how to implement tag-based masking policies with contracts and constraints using the following syntax:
 
-<File name='models/constraints_example.sql'>
+<File name='models/constraints_example.yml'>
 
 ```yaml
 

From f8cce3344bbc924b9b646c0e89583f4f77e7b1b7 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 3 Sep 2024 09:18:54 +0100
Subject: [PATCH 022/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 09f5f6076e9..079dd88106e 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -554,7 +554,7 @@ To generate a YAML with all the columns, you could also use `generate_model_yaml
 
 Alternatively, you can add a masking policy without tags:
 
-<File name='models/constraints_example.sql'>
+<File name='models/constraints_example.yml'>
  
 ```yaml
 

From 04bf56d9daf18e3a0d3ea6f7abe58e014ed7e93c Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 3 Sep 2024 09:34:33 +0100
Subject: [PATCH 023/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 079dd88106e..b31923c2693 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -533,7 +533,7 @@ Here's an example of how to implement tag-based masking policies with contracts
 
 models:
 
-- name: my_model
+    - name: my_model
 config:
     contract: {enforced: true}
     materialized: table

From 2455fb5804538906d8d09a20dcf8ed1bd687ce70 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 3 Sep 2024 09:35:26 +0100
Subject: [PATCH 024/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index b31923c2693..838e502d714 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -534,7 +534,7 @@ Here's an example of how to implement tag-based masking policies with contracts
 models:
 
     - name: my_model
-config:
+    config:
     contract: {enforced: true}
     materialized: table
   columns:

From 70ad2605a99021fafb8bd5649ce1bbf913e1ca25 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 3 Sep 2024 09:41:58 +0100
Subject: [PATCH 025/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 838e502d714..d7c5c53dd61 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -537,7 +537,7 @@ models:
     config:
     contract: {enforced: true}
     materialized: table
-  columns:
+    columns:
     - name: id
       data_type: int
       constraints:

From 72420bdf2a90f7aafd1638e9cafe4db1b2a91be5 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 3 Sep 2024 09:43:31 +0100
Subject: [PATCH 026/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index d7c5c53dd61..a502a0b87d4 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -533,7 +533,7 @@ Here's an example of how to implement tag-based masking policies with contracts
 
 models:
 
-    - name: my_model
+  - name: my_model
     config:
     contract: {enforced: true}
     materialized: table

From 7d2287d7e2443896cf362a08a6234744b67f2c4d Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 3 Sep 2024 09:44:08 +0100
Subject: [PATCH 027/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index a502a0b87d4..a26a2ebb917 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -537,7 +537,7 @@ models:
     config:
     contract: {enforced: true}
     materialized: table
-    columns:
+  columns:
     - name: id
       data_type: int
       constraints:

From e10b8269d95f6443b1f0b821feafc07338fe01b9 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 3 Sep 2024 09:51:47 +0100
Subject: [PATCH 028/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index a26a2ebb917..b044b4ba670 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -535,7 +535,7 @@ models:
 
   - name: my_model
     config:
-    contract: {enforced: true}
+      contract: {enforced: true}
     materialized: table
   columns:
     - name: id

From 244e2f407c1e5ef57ea95674114a85106c84945a Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 3 Sep 2024 09:52:02 +0100
Subject: [PATCH 029/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index b044b4ba670..d038465a687 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -536,7 +536,7 @@ models:
   - name: my_model
     config:
       contract: {enforced: true}
-    materialized: table
+      materialized: table
   columns:
     - name: id
       data_type: int

From 8258226b8a62e226e159181558df39cd6fbceb62 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 3 Sep 2024 09:53:15 +0100
Subject: [PATCH 030/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index d038465a687..555766e13d7 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -537,7 +537,7 @@ models:
     config:
       contract: {enforced: true}
       materialized: table
-  columns:
+    columns:
     - name: id
       data_type: int
       constraints:

From 2cf8771dfd8afd71bc59d7fc54ea9fde3cab3133 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 3 Sep 2024 10:35:17 +0100
Subject: [PATCH 031/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 555766e13d7..891cff8c9e8 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -521,7 +521,9 @@ alter table schema_name.my_model add constraint 472394792387497234 check (id > 0
 
 ### Custom constraints on models for advanced configuration of tables
 
-In dbt Cloud, you can use custom constraints on models for advanced configuration of tables. For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
+In dbt Cloud, you can use custom constraints on models for advanced configuration of tables. Different data warehouses will support different syntax and different capabilities, but custom constraints will always allow you to add configuration to specific columns.
+
+For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
 
 Each data warehouse has its own set of parameters that can be set for columns in their CTAS statements. For example [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema).
 

From 15f76640be92a19273610878ca94cb3f8302d308 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 3 Sep 2024 12:00:36 +0100
Subject: [PATCH 032/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 891cff8c9e8..2457972ad86 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -527,6 +527,11 @@ For example, custom constraints allow you to set [masking policies](https://docs
 
 Each data warehouse has its own set of parameters that can be set for columns in their CTAS statements. For example [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema).
 
+There are some different scenarios of implementing contracts and constraints:
+
+- [Tag-based masking policies](https://github.com/dbt-labs/dbt-adapters/issues/85#issuecomment-2310772737).
+- [Add a masking policy without a tag](https://github.com/dbt-labs/dbt-adapters/issues/85#issuecomment-2314547162).
+
 Here's an example of how to implement tag-based masking policies with contracts and constraints using the following syntax:
 
 <File name='models/constraints_example.yml'>

From 05afe4ece7b40f71b58c63f9416f08af3a034568 Mon Sep 17 00:00:00 2001
From: Natalie Fiann <Natalie.Fiann@dbtlabs.com>
Date: Wed, 4 Sep 2024 13:46:37 +0100
Subject: [PATCH 033/200] updated doc

---
 .../resource-properties/constraints.md        | 35 ++++++++++---------
 1 file changed, 18 insertions(+), 17 deletions(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 2457972ad86..8f2746c497c 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -521,13 +521,13 @@ alter table schema_name.my_model add constraint 472394792387497234 check (id > 0
 
 ### Custom constraints on models for advanced configuration of tables
 
-In dbt Cloud, you can use custom constraints on models for advanced configuration of tables. Different data warehouses will support different syntax and different capabilities, but custom constraints will always allow you to add configuration to specific columns.
+In dbt Cloud, you can use custom constraints on models for the advanced configuration of tables. Different data warehouses will support different syntax and capabilities, but custom constraints will always allow you to add configuration to specific columns.
 
 For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
 
-Each data warehouse has its own set of parameters that can be set for columns in their CTAS statements. For example [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema).
+[Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema) are also other examples of data warehouses having their own set of parameters that can be set for columns in their CTAS statements.
 
-There are some different scenarios of implementing contracts and constraints:
+There are different scenarios of implementing contracts and constraints:
 
 - [Tag-based masking policies](https://github.com/dbt-labs/dbt-adapters/issues/85#issuecomment-2310772737).
 - [Add a masking policy without a tag](https://github.com/dbt-labs/dbt-adapters/issues/85#issuecomment-2314547162).
@@ -539,25 +539,25 @@ Here's an example of how to implement tag-based masking policies with contracts
 ```yaml
 
 models:
-
   - name: my_model
-    config:
-      contract: {enforced: true}
-      materialized: table
-    columns:
-    - name: id
-      data_type: int
-      constraints:
-        - type: custom
-          expression: "tag (my_tag = 'my_value')" #  A custom SQL expression used to enforce a specific constraint on a column.
+config: null
+contract:
+  enforced: true
+materialized: table
+columns:
+  - name: id
+    data_type: int
+    constraints:
+      - type: custom
+        expression: tag (my_tag = 'my_value') #  A custom SQL expression used to enforce a specific constraint on a column.
 
 ```
 
 </File>
 
-Using this syntax requires configuring all the columns and their types as it’s the only way where to send a create or replace `<cols_info_with_masking> mytable as ...`. It’s not possible to do it with just a partial list of columns. This means making sure the columns and constraints fields are fully defined.
+Using this syntax requires configuring all the columns and their types as it’s the only way to send a create or replace `<cols_info_with_masking> mytable as ...`. It’s not possible to do it with just a partial list of columns. This means making sure the columns and constraints fields are fully defined.
 
-To generate a YAML with all the columns, you could also use `generate_model_yaml` from [dbt-codegen](https://github.com/dbt-labs/dbt-codegen/tree/0.12.1/?tab=readme-ov-file#generate_model_yaml-source).
+To generate a YAML with all the columns, you can use `generate_model_yaml` from [dbt-codegen](https://github.com/dbt-labs/dbt-codegen/tree/0.12.1/?tab=readme-ov-file#generate_model_yaml-source).
 
 Alternatively, you can add a masking policy without tags:
 
@@ -568,14 +568,15 @@ Alternatively, you can add a masking policy without tags:
 models:
   - name: my_model
     config:
-      contract: {enforced: true}
+      contract:
+        enforced: true
       materialized: table
     columns:
       - name: id
         data_type: int
         constraints:
           - type: custom
-            expression: "masking policy my_policy"
+            expression: masking policy my_policy
 
 ```
 

From d9290f0da08641875d7534e6a4cd2db24381baf3 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 4 Sep 2024 15:17:35 +0100
Subject: [PATCH 034/200] Update
 website/docs/reference/resource-properties/constraints.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 8f2746c497c..fc4b52103eb 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -521,7 +521,7 @@ alter table schema_name.my_model add constraint 472394792387497234 check (id > 0
 
 ### Custom constraints on models for advanced configuration of tables
 
-In dbt Cloud, you can use custom constraints on models for the advanced configuration of tables. Different data warehouses will support different syntax and capabilities, but custom constraints will always allow you to add configuration to specific columns.
+In dbt Cloud, you can use custom constraints on models for the advanced configuration of tables. Different data warehouses support different syntax and capabilities. However, custom constraints allow you to add configuration to specific columns.
 
 For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
 

From 3fea39018e7741ae6af661becd2b12a828ff3254 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 4 Sep 2024 15:17:48 +0100
Subject: [PATCH 035/200] Update
 website/docs/reference/resource-properties/constraints.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index fc4b52103eb..2aeaeb37e3c 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -527,7 +527,7 @@ For example, custom constraints allow you to set [masking policies](https://docs
 
 [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema) are also other examples of data warehouses having their own set of parameters that can be set for columns in their CTAS statements.
 
-There are different scenarios of implementing contracts and constraints:
+You can implement constraints in a couple of different ways:
 
 - [Tag-based masking policies](https://github.com/dbt-labs/dbt-adapters/issues/85#issuecomment-2310772737).
 - [Add a masking policy without a tag](https://github.com/dbt-labs/dbt-adapters/issues/85#issuecomment-2314547162).

From 278f3d5da3a6a993f81fd39899511654da0d0465 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 4 Sep 2024 15:18:45 +0100
Subject: [PATCH 036/200] Update
 website/docs/reference/resource-properties/constraints.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/reference/resource-properties/constraints.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 2aeaeb37e3c..b8b857405ce 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -523,7 +523,9 @@ alter table schema_name.my_model add constraint 472394792387497234 check (id > 0
 
 In dbt Cloud, you can use custom constraints on models for the advanced configuration of tables. Different data warehouses support different syntax and capabilities. However, custom constraints allow you to add configuration to specific columns.
 
-For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
+  - For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
+  
+  - [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema) ar other examples of data warehouses having their own set of parameters that can be set for columns in their CTAS statements.
 
 [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema) are also other examples of data warehouses having their own set of parameters that can be set for columns in their CTAS statements.
 

From f3bced0a19ac7908d8dab997ad9f932c03cd5219 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 4 Sep 2024 15:19:29 +0100
Subject: [PATCH 037/200] Update
 website/docs/reference/resource-properties/constraints.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/reference/resource-properties/constraints.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index b8b857405ce..abde4c13f94 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -527,7 +527,6 @@ In dbt Cloud, you can use custom constraints on models for the advanced configur
   
   - [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema) ar other examples of data warehouses having their own set of parameters that can be set for columns in their CTAS statements.
 
-[Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema) are also other examples of data warehouses having their own set of parameters that can be set for columns in their CTAS statements.
 
 You can implement constraints in a couple of different ways:
 

From 88f16f07773fbbdb38ff0e852f3433b4d016c8fc Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 4 Sep 2024 15:23:25 +0100
Subject: [PATCH 038/200] Update
 website/docs/reference/resource-properties/constraints.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index abde4c13f94..1b3ba2db7a3 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -577,7 +577,7 @@ models:
         data_type: int
         constraints:
           - type: custom
-            expression: masking policy my_policy
+            expression: "masking policy my_policy"
 
 ```
 

From bb6c5ea042d0edc74c2fb9e84207870de6c659cd Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 4 Sep 2024 15:32:43 +0100
Subject: [PATCH 039/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 1b3ba2db7a3..ab5a83aa64a 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -530,7 +530,7 @@ In dbt Cloud, you can use custom constraints on models for the advanced configur
 
 You can implement constraints in a couple of different ways:
 
-- [Tag-based masking policies](https://github.com/dbt-labs/dbt-adapters/issues/85#issuecomment-2310772737).
+- ### Custom constraints with tags
 - [Add a masking policy without a tag](https://github.com/dbt-labs/dbt-adapters/issues/85#issuecomment-2314547162).
 
 Here's an example of how to implement tag-based masking policies with contracts and constraints using the following syntax:

From fb6e44d5cb12350a29a6e21230d8ffe9f6202156 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 4 Sep 2024 15:33:23 +0100
Subject: [PATCH 040/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index ab5a83aa64a..702da092b73 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -531,7 +531,7 @@ In dbt Cloud, you can use custom constraints on models for the advanced configur
 You can implement constraints in a couple of different ways:
 
 - ### Custom constraints with tags
-- [Add a masking policy without a tag](https://github.com/dbt-labs/dbt-adapters/issues/85#issuecomment-2314547162).
+- ### Custom constraints without tags
 
 Here's an example of how to implement tag-based masking policies with contracts and constraints using the following syntax:
 

From 9cfc253db79a8a40c35b30ce266c74205a4e2f35 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 4 Sep 2024 15:54:08 +0100
Subject: [PATCH 041/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 702da092b73..2d4ac244715 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -531,7 +531,6 @@ In dbt Cloud, you can use custom constraints on models for the advanced configur
 You can implement constraints in a couple of different ways:
 
 - ### Custom constraints with tags
-- ### Custom constraints without tags
 
 Here's an example of how to implement tag-based masking policies with contracts and constraints using the following syntax:
 

From 1a7b84e618769cf783c41a76ed3ff91b0276ac7c Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 4 Sep 2024 15:55:13 +0100
Subject: [PATCH 042/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 2d4ac244715..552ffbd918d 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -559,6 +559,9 @@ Using this syntax requires configuring all the columns and their types as it’s
 
 To generate a YAML with all the columns, you can use `generate_model_yaml` from [dbt-codegen](https://github.com/dbt-labs/dbt-codegen/tree/0.12.1/?tab=readme-ov-file#generate_model_yaml-source).
 
+
+### Custom constraints without tags
+
 Alternatively, you can add a masking policy without tags:
 
 <File name='models/constraints_example.yml'>

From 84ec68c10a816d9320fd9f6c8a0cf0b7ff844680 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 4 Sep 2024 15:55:36 +0100
Subject: [PATCH 043/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 552ffbd918d..58fa5b999a6 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -530,7 +530,7 @@ In dbt Cloud, you can use custom constraints on models for the advanced configur
 
 You can implement constraints in a couple of different ways:
 
-- ### Custom constraints with tags
+### Custom constraints with tags
 
 Here's an example of how to implement tag-based masking policies with contracts and constraints using the following syntax:
 

From b4285e79dade96dd4fb6aa307494f17bfa0e129c Mon Sep 17 00:00:00 2001
From: Natalie Fiann <Natalie.Fiann@dbtlabs.com>
Date: Wed, 4 Sep 2024 16:24:12 +0100
Subject: [PATCH 044/200] update yaml

---
 .../resource-properties/constraints.md        | 20 +++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 8f2746c497c..9170f23dbd2 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -540,16 +540,16 @@ Here's an example of how to implement tag-based masking policies with contracts
 
 models:
   - name: my_model
-config: null
-contract:
-  enforced: true
-materialized: table
-columns:
-  - name: id
-    data_type: int
-    constraints:
-      - type: custom
-        expression: tag (my_tag = 'my_value') #  A custom SQL expression used to enforce a specific constraint on a column.
+    config: null
+      contract:
+        enforced: true
+      materialized: table
+    columns:
+      - name: id
+        data_type: int
+        constraints:
+          - type: custom
+            expression: tag (my_tag = 'my_value') #  A custom SQL expression used to enforce a specific constraint on a column.
 
 ```
 

From 5217d03149f33f96a39a697a163559f668e28bb9 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 4 Sep 2024 16:41:08 +0100
Subject: [PATCH 045/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 0d4c71c7b69..bcae091afde 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -525,7 +525,7 @@ In dbt Cloud, you can use custom constraints on models for the advanced configur
 
   - For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
   
-  - [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema) ar other examples of data warehouses having their own set of parameters that can be set for columns in their CTAS statements.
+  - [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema) are other examples of data warehouses having their own set of parameters that can be set for columns in their CTAS statements.
 
 
 You can implement constraints in a couple of different ways:

From 3885b93c00c3aaec9dfadb9314fd0319dd0ac3e8 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 4 Sep 2024 17:37:19 +0100
Subject: [PATCH 046/200] Update
 website/docs/reference/resource-properties/constraints.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/reference/resource-properties/constraints.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index bcae091afde..f047ecadfff 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -530,6 +530,8 @@ In dbt Cloud, you can use custom constraints on models for the advanced configur
 
 You can implement constraints in a couple of different ways:
 
+- [Custom constraints with tags](#custom-constraints-with-tags)
+- [Custom constraints without tags](#custom-constraints-without-tags)
 ### Custom constraints with tags
 
 Here's an example of how to implement tag-based masking policies with contracts and constraints using the following syntax:

From ecff6de1c6800e423173e0ff58021ba79a203be5 Mon Sep 17 00:00:00 2001
From: Natalie Fiann <Natalie.Fiann@dbtlabs.com>
Date: Tue, 10 Sep 2024 17:00:11 +0100
Subject: [PATCH 047/200] Updated project splitting section

---
 .../how-we-structure/5-the-rest-of-the-project.md             | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md b/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
index c7522bf12eb..07489ab67cd 100644
--- a/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
+++ b/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
@@ -102,9 +102,9 @@ We’ve focused heavily thus far on the primary area of action in our dbt projec
 
 ### Project splitting
 
-One important, growing consideration in the analytics engineering ecosystem is how and when to split a codebase into multiple dbt projects. Our present stance on this for most projects, particularly for teams starting out, is straightforward: you should avoid it unless you have no other option or it saves you from an even more complex workaround. If you do have the need to split up your project, it’s completely possible through the use of private packages, but the added complexity and separation is, for most organizations, a hindrance, not a help, at present. That said, this is very likely subject to change! [We want to create a world where it’s easy to bring lots of dbt projects together into a cohesive lineage](https://github.com/dbt-labs/dbt-core/discussions/5244). In a world where it’s simple to break up monolithic dbt projects into multiple connected projects, perhaps inside of a modern mono repo, the calculus will be different, and the below situations we recommend against may become totally viable. So watch this space!
+One important, growing consideration in the analytics engineering ecosystem is how and when to split a codebase into multiple dbt projects. Currently, our advice for most teams, especially those just starting out, is fairly simple: in most cases, we recommend doing so! With the introduction of [dbt Mesh](/best-practices/how-we-mesh/mesh-1-intro), organizations can more effectively handle complexity by utilizing multiple interconnected dbt projects rather than a single large, monolithic one. This approach is designed to speed up development while maintaining governance. As breaking up monolithic dbt projects into smaller, connected projects, potentially within a modern mono repo becomes easier, the scenarios we currently advise against may soon become feasible. So watch this space!
 
-- ❌ **Business groups or departments.** Conceptual separations within the project are not a good reason to split up your project. Splitting up, for instance, marketing and finance modeling into separate projects will not only add unnecessary complexity but destroy the unifying effect of collaborating across your organization on cohesive definitions and business logic.
+- ✅ **Business groups or departments.** Conceptual separations within the project are a good reason to split up your project. For more information about dbt mesh, please refer to our [dbt Mesh FAQs](/best-practices/how-we-mesh/mesh-5-faqs).
 - ❌ **ML vs Reporting use cases.** Similarly to the point above, splitting a project up based on different use cases, particularly more standard BI versus ML features, is a common idea. We tend to discourage it for the time being. As with the previous point, a foundational goal of implementing dbt is to create a single source of truth in your organization. The features you’re providing to your data science teams should be coming from the same marts and metrics that serve reports on executive dashboards.
 - ✅ **Data governance.** Structural, organizational needs — such as data governance and security — are one of the few worthwhile reasons to split up a project. If, for instance, you work at a healthcare company with only a small team cleared to access raw data with PII in it, you may need to split out your staging models into their own projects to preserve those policies. In that case, you would import your staging project into the project that builds on those staging models as a [private package](https://docs.getdbt.com/docs/build/packages/#private-packages).
 - ✅ **Project size.** At a certain point, your project may grow to have simply too many models to present a viable development experience. If you have 1000s of models, it absolutely makes sense to find a way to split up your project.

From 55f9a4c757f5fbb1251a9afc6443be0b02b312f7 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 10 Sep 2024 21:05:42 +0100
Subject: [PATCH 048/200] Update
 website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md

Co-authored-by: dave-connors-3 <73915542+dave-connors-3@users.noreply.github.com>
---
 .../how-we-structure/5-the-rest-of-the-project.md               | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md b/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
index 07489ab67cd..172dbd149b4 100644
--- a/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
+++ b/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
@@ -104,7 +104,7 @@ We’ve focused heavily thus far on the primary area of action in our dbt projec
 
 One important, growing consideration in the analytics engineering ecosystem is how and when to split a codebase into multiple dbt projects. Currently, our advice for most teams, especially those just starting out, is fairly simple: in most cases, we recommend doing so! With the introduction of [dbt Mesh](/best-practices/how-we-mesh/mesh-1-intro), organizations can more effectively handle complexity by utilizing multiple interconnected dbt projects rather than a single large, monolithic one. This approach is designed to speed up development while maintaining governance. As breaking up monolithic dbt projects into smaller, connected projects, potentially within a modern mono repo becomes easier, the scenarios we currently advise against may soon become feasible. So watch this space!
 
-- ✅ **Business groups or departments.** Conceptual separations within the project are a good reason to split up your project. For more information about dbt mesh, please refer to our [dbt Mesh FAQs](/best-practices/how-we-mesh/mesh-5-faqs).
+- ✅ **Business groups or departments.** Conceptual separations within the project are the primary reason to split up your project. This allows your business domains to own their own data products and still collaborate using dbt Mesh. For more information about dbt Mesh, please refer to our [dbt Mesh FAQs](/best-practices/how-we-mesh/mesh-5-faqs).
 - ❌ **ML vs Reporting use cases.** Similarly to the point above, splitting a project up based on different use cases, particularly more standard BI versus ML features, is a common idea. We tend to discourage it for the time being. As with the previous point, a foundational goal of implementing dbt is to create a single source of truth in your organization. The features you’re providing to your data science teams should be coming from the same marts and metrics that serve reports on executive dashboards.
 - ✅ **Data governance.** Structural, organizational needs — such as data governance and security — are one of the few worthwhile reasons to split up a project. If, for instance, you work at a healthcare company with only a small team cleared to access raw data with PII in it, you may need to split out your staging models into their own projects to preserve those policies. In that case, you would import your staging project into the project that builds on those staging models as a [private package](https://docs.getdbt.com/docs/build/packages/#private-packages).
 - ✅ **Project size.** At a certain point, your project may grow to have simply too many models to present a viable development experience. If you have 1000s of models, it absolutely makes sense to find a way to split up your project.

From b5d2a4514909b06ed760ecdb5a396fe41b6097c4 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 10 Sep 2024 21:06:45 +0100
Subject: [PATCH 049/200] Update
 website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 .../how-we-structure/5-the-rest-of-the-project.md             | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md b/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
index 172dbd149b4..f60e0c844f2 100644
--- a/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
+++ b/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
@@ -102,7 +102,9 @@ We’ve focused heavily thus far on the primary area of action in our dbt projec
 
 ### Project splitting
 
-One important, growing consideration in the analytics engineering ecosystem is how and when to split a codebase into multiple dbt projects. Currently, our advice for most teams, especially those just starting out, is fairly simple: in most cases, we recommend doing so! With the introduction of [dbt Mesh](/best-practices/how-we-mesh/mesh-1-intro), organizations can more effectively handle complexity by utilizing multiple interconnected dbt projects rather than a single large, monolithic one. This approach is designed to speed up development while maintaining governance. As breaking up monolithic dbt projects into smaller, connected projects, potentially within a modern mono repo becomes easier, the scenarios we currently advise against may soon become feasible. So watch this space!
+One important, growing consideration in the analytics engineering ecosystem is how and when to split a codebase into multiple dbt projects. Currently, our advice for most teams, especially those just starting, is fairly simple: in most cases, we recommend doing so with [dbt Mesh](/best-practices/how-we-mesh/mesh-1-intro)! dbt Mesh allows organizations to handle complexity by connecting several dbt projects rather than relying on one big, monolithic project. This approach is designed to speed up development while maintaining governance. 
+
+As breaking up monolithic dbt projects into smaller, connected projects, potentially within a modern mono repo becomes easier, the scenarios we currently advise against may soon become feasible. So watch this space!
 
 - ✅ **Business groups or departments.** Conceptual separations within the project are the primary reason to split up your project. This allows your business domains to own their own data products and still collaborate using dbt Mesh. For more information about dbt Mesh, please refer to our [dbt Mesh FAQs](/best-practices/how-we-mesh/mesh-5-faqs).
 - ❌ **ML vs Reporting use cases.** Similarly to the point above, splitting a project up based on different use cases, particularly more standard BI versus ML features, is a common idea. We tend to discourage it for the time being. As with the previous point, a foundational goal of implementing dbt is to create a single source of truth in your organization. The features you’re providing to your data science teams should be coming from the same marts and metrics that serve reports on executive dashboards.

From f40d5b3d1ea7e1a456f0e6c1ad0068e1749ae9bb Mon Sep 17 00:00:00 2001
From: Natalie Fiann <Natalie.Fiann@dbtlabs.com>
Date: Tue, 10 Sep 2024 21:12:59 +0100
Subject: [PATCH 050/200] Changed order of paragraph around

---
 .../how-we-structure/5-the-rest-of-the-project.md               | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md b/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
index 07489ab67cd..117a78d8c67 100644
--- a/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
+++ b/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
@@ -105,9 +105,9 @@ We’ve focused heavily thus far on the primary area of action in our dbt projec
 One important, growing consideration in the analytics engineering ecosystem is how and when to split a codebase into multiple dbt projects. Currently, our advice for most teams, especially those just starting out, is fairly simple: in most cases, we recommend doing so! With the introduction of [dbt Mesh](/best-practices/how-we-mesh/mesh-1-intro), organizations can more effectively handle complexity by utilizing multiple interconnected dbt projects rather than a single large, monolithic one. This approach is designed to speed up development while maintaining governance. As breaking up monolithic dbt projects into smaller, connected projects, potentially within a modern mono repo becomes easier, the scenarios we currently advise against may soon become feasible. So watch this space!
 
 - ✅ **Business groups or departments.** Conceptual separations within the project are a good reason to split up your project. For more information about dbt mesh, please refer to our [dbt Mesh FAQs](/best-practices/how-we-mesh/mesh-5-faqs).
-- ❌ **ML vs Reporting use cases.** Similarly to the point above, splitting a project up based on different use cases, particularly more standard BI versus ML features, is a common idea. We tend to discourage it for the time being. As with the previous point, a foundational goal of implementing dbt is to create a single source of truth in your organization. The features you’re providing to your data science teams should be coming from the same marts and metrics that serve reports on executive dashboards.
 - ✅ **Data governance.** Structural, organizational needs — such as data governance and security — are one of the few worthwhile reasons to split up a project. If, for instance, you work at a healthcare company with only a small team cleared to access raw data with PII in it, you may need to split out your staging models into their own projects to preserve those policies. In that case, you would import your staging project into the project that builds on those staging models as a [private package](https://docs.getdbt.com/docs/build/packages/#private-packages).
 - ✅ **Project size.** At a certain point, your project may grow to have simply too many models to present a viable development experience. If you have 1000s of models, it absolutely makes sense to find a way to split up your project.
+- ❌ **ML vs Reporting use cases.** Similarly to the point above, splitting a project up based on different use cases, particularly more standard BI versus ML features, is a common idea. We tend to discourage it for the time being. As with the previous point, a foundational goal of implementing dbt is to create a single source of truth in your organization. The features you’re providing to your data science teams should be coming from the same marts and metrics that serve reports on executive dashboards.
 
 ## Final considerations
 

From 63c9b4630ea44afd81e5d1120090de023c5ba759 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Tue, 10 Sep 2024 21:25:54 +0100
Subject: [PATCH 051/200] Update
 website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md

---
 .../best-practices/how-we-structure/5-the-rest-of-the-project.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md b/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
index 81151582c17..9358b507acc 100644
--- a/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
+++ b/website/docs/best-practices/how-we-structure/5-the-rest-of-the-project.md
@@ -107,7 +107,6 @@ One important, growing consideration in the analytics engineering ecosystem is h
 As breaking up monolithic dbt projects into smaller, connected projects, potentially within a modern mono repo becomes easier, the scenarios we currently advise against may soon become feasible. So watch this space!
 
 - ✅ **Business groups or departments.** Conceptual separations within the project are the primary reason to split up your project. This allows your business domains to own their own data products and still collaborate using dbt Mesh. For more information about dbt Mesh, please refer to our [dbt Mesh FAQs](/best-practices/how-we-mesh/mesh-5-faqs).
-- ❌ **ML vs Reporting use cases.** Similarly to the point above, splitting a project up based on different use cases, particularly more standard BI versus ML features, is a common idea. We tend to discourage it for the time being. As with the previous point, a foundational goal of implementing dbt is to create a single source of truth in your organization. The features you’re providing to your data science teams should be coming from the same marts and metrics that serve reports on executive dashboards.
 - ✅ **Data governance.** Structural, organizational needs — such as data governance and security — are one of the few worthwhile reasons to split up a project. If, for instance, you work at a healthcare company with only a small team cleared to access raw data with PII in it, you may need to split out your staging models into their own projects to preserve those policies. In that case, you would import your staging project into the project that builds on those staging models as a [private package](https://docs.getdbt.com/docs/build/packages/#private-packages).
 - ✅ **Project size.** At a certain point, your project may grow to have simply too many models to present a viable development experience. If you have 1000s of models, it absolutely makes sense to find a way to split up your project.
 - ❌ **ML vs Reporting use cases.** Similarly to the point above, splitting a project up based on different use cases, particularly more standard BI versus ML features, is a common idea. We tend to discourage it for the time being. As with the previous point, a foundational goal of implementing dbt is to create a single source of truth in your organization. The features you’re providing to your data science teams should be coming from the same marts and metrics that serve reports on executive dashboards.

From 1207ce20f26acf13c0a29da846e38b80bd8355c3 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 11 Sep 2024 12:27:47 +0100
Subject: [PATCH 052/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index f047ecadfff..229d83bbc58 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -551,7 +551,7 @@ models:
         data_type: int
         constraints:
           - type: custom
-            expression: tag (my_tag = 'my_value') #  A custom SQL expression used to enforce a specific constraint on a column.
+            expression: "tag (my_tag = 'my_value')" #  A custom SQL expression used to enforce a specific constraint on a column.
 
 ```
 

From b7cd5067c76a17fde71625c3898740563163052b Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 11 Sep 2024 13:37:16 +0100
Subject: [PATCH 053/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 229d83bbc58..3a4d432dfe8 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -521,7 +521,7 @@ alter table schema_name.my_model add constraint 472394792387497234 check (id > 0
 
 ### Custom constraints on models for advanced configuration of tables
 
-In dbt Cloud, you can use custom constraints on models for the advanced configuration of tables. Different data warehouses support different syntax and capabilities. However, custom constraints allow you to add configuration to specific columns.
+In dbt Cloud and dbt Core, you can use custom constraints on models for the advanced configuration of tables. Different data warehouses support different syntax and capabilities. However, custom constraints allow you to add configuration to specific columns.
 
   - For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
   

From d7eb83035f145aca1a3f3e2caa6279acfcd5ab38 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 11 Sep 2024 13:51:30 +0100
Subject: [PATCH 054/200] Update
 website/docs/reference/resource-properties/constraints.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 3a4d432dfe8..880b56b6710 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -519,7 +519,7 @@ alter table schema_name.my_model add constraint 472394792387497234 check (id > 0
 
 </WHCode>
 
-### Custom constraints on models for advanced configuration of tables
+### Custom constraints 
 
 In dbt Cloud and dbt Core, you can use custom constraints on models for the advanced configuration of tables. Different data warehouses support different syntax and capabilities. However, custom constraints allow you to add configuration to specific columns.
 

From 6f7b622081718e8cf88ae98e1143fb6120a24d3f Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 11 Sep 2024 13:51:45 +0100
Subject: [PATCH 055/200] Update
 website/docs/reference/resource-properties/constraints.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/reference/resource-properties/constraints.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 880b56b6710..3c0b3683ab3 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -521,7 +521,9 @@ alter table schema_name.my_model add constraint 472394792387497234 check (id > 0
 
 ### Custom constraints 
 
-In dbt Cloud and dbt Core, you can use custom constraints on models for the advanced configuration of tables. Different data warehouses support different syntax and capabilities. However, custom constraints allow you to add configuration to specific columns.
+In dbt Cloud and dbt Core, you can use custom constraints on models for the advanced configuration of tables. Different data warehouses support different syntax and capabilities. 
+
+Custom constraints allow you to add configuration to specific columns:
 
   - For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
   

From b72d530a0c71ede771f5261ced43338acaae76b7 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 11 Sep 2024 14:02:37 +0100
Subject: [PATCH 056/200] Update
 website/docs/reference/resource-properties/constraints.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 3c0b3683ab3..a53842dc5e9 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -544,7 +544,7 @@ Here's an example of how to implement tag-based masking policies with contracts
 
 models:
   - name: my_model
-    config: null
+    config:
       contract:
         enforced: true
       materialized: table

From 261d61f12ced36ec78f10c263bbba42334d765a3 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 11 Sep 2024 14:03:24 +0100
Subject: [PATCH 057/200] Update
 website/docs/reference/resource-properties/constraints.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index a53842dc5e9..34bc56b947a 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -523,7 +523,7 @@ alter table schema_name.my_model add constraint 472394792387497234 check (id > 0
 
 In dbt Cloud and dbt Core, you can use custom constraints on models for the advanced configuration of tables. Different data warehouses support different syntax and capabilities. 
 
-Custom constraints allow you to add configuration to specific columns:
+Custom constraints allow you to add configuration to specific columns. For example:
 
   - For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
   

From 42746780b317074fcfc8a624c1a90b6b9863a24b Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 11 Sep 2024 14:03:39 +0100
Subject: [PATCH 058/200] Update
 website/docs/reference/resource-properties/constraints.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 34bc56b947a..0e7c3d25cc1 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -525,7 +525,7 @@ In dbt Cloud and dbt Core, you can use custom constraints on models for the adva
 
 Custom constraints allow you to add configuration to specific columns. For example:
 
-  - For example, custom constraints allow you to set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
+  - Set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
   
   - [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema) are other examples of data warehouses having their own set of parameters that can be set for columns in their CTAS statements.
 

From 86038b67d5c617eaf5268b0104d3e2ae1c570fbc Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 11 Sep 2024 14:04:18 +0100
Subject: [PATCH 059/200] Update
 website/docs/reference/resource-properties/constraints.md

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 0e7c3d25cc1..99a232f4c23 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -527,7 +527,7 @@ Custom constraints allow you to add configuration to specific columns. For examp
 
   - Set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
   
-  - [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema) are other examples of data warehouses having their own set of parameters that can be set for columns in their CTAS statements.
+  - Other data warehouses (such as [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema)) have their own set of parameters that can be set for columns in their CTAS statements.
 
 
 You can implement constraints in a couple of different ways:

From a9b4418a3b5f95add69bf0c802b85d6a80f5c2d3 Mon Sep 17 00:00:00 2001
From: nataliefiann <120089939+nataliefiann@users.noreply.github.com>
Date: Wed, 11 Sep 2024 14:04:44 +0100
Subject: [PATCH 060/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 99a232f4c23..54391ed58f4 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -527,7 +527,7 @@ Custom constraints allow you to add configuration to specific columns. For examp
 
   - Set [masking policies](https://docs.snowflake.com/en/user-guide/security-column-intro#what-are-masking-policies) in Snowflake when using a Create Table As Select (CTAS).
   
-  - Other data warehouses (such as [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema)) have their own set of parameters that can be set for columns in their CTAS statements.
+  - Other data warehouses (such as [Databricks](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-create-table-using.html) and [BigQuery](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#column_name_and_column_schema) have their own set of parameters that can be set for columns in their CTAS statements.
 
 
 You can implement constraints in a couple of different ways:

From c9b93bf24b6ed7e262137d73f92d1244ed96b304 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 12 Sep 2024 17:58:57 +0100
Subject: [PATCH 061/200] Update
 website/docs/reference/resource-properties/constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 54391ed58f4..12691158e73 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -519,7 +519,7 @@ alter table schema_name.my_model add constraint 472394792387497234 check (id > 0
 
 </WHCode>
 
-### Custom constraints 
+## Custom constraints 
 
 In dbt Cloud and dbt Core, you can use custom constraints on models for the advanced configuration of tables. Different data warehouses support different syntax and capabilities. 
 

From 451dc8555c36e4b4d97a79fcd316027751d40b63 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Tue, 24 Sep 2024 16:48:56 -0400
Subject: [PATCH 062/200] Create explorer-qs.md

added intro
---
 website/docs/guides/explorer-qs.md | 34 ++++++++++++++++++++++++++++++
 1 file changed, 34 insertions(+)
 create mode 100644 website/docs/guides/explorer-qs.md

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
new file mode 100644
index 00000000000..b8283ea40e7
--- /dev/null
+++ b/website/docs/guides/explorer-qs.md
@@ -0,0 +1,34 @@
+---
+title: "Quickstart for the dbt Explorer Workshop"
+id: ex-qs
+description: "Use this guide to build and define metrics, set up the dbt Cloud Semantic Layer, and query them using Google Sheets."
+sidebar_label: "Quickstart dbt Explorer"
+icon: 'guides'
+hide_table_of_contents: true
+tags: ['Explorer', 'Snowflake', 'dbt Cloud','Quickstart']
+keywords: ['dbt Semantic Layer','Metrics','dbt Cloud', 'Snowflake', 'Google Sheets']
+level: 'Beginner'
+recently_updated: true
+---
+
+<!-- The below snippets (or reusables) can be found in the following file locations in the docs code repository) -->
+import CreateModel from '/snippets/_sl-create-semanticmodel.md';
+import DefineMetrics from '/snippets/_sl-define-metrics.md';
+import ConfigMetric from '/snippets/_sl-configure-metricflow.md';
+import TestQuery from '/snippets/_sl-test-and-query-metrics.md';
+import ConnectQueryAPI from '/snippets/_sl-connect-and-query-api.md';
+import RunProdJob from '/snippets/_sl-run-prod-job.md';
+import SlSetUp from '/snippets/_new-sl-setup.md'; 
+
+## Introduction
+Unlock the power of [dbt Explorer](/docs/collaborate/explore-projects) in this hands-on workshop designed for analytics engineers, data analysts, stakeholders, and data leaders! Dive into a production-level dbt Mesh implementation and discover how to explore your data workflows.⁠ Whether you're looking to streamline your data operations, improve data quality, or self-serve information about your data platform, this workshop will equip you with the tools and knowledge to take your dbt projects to the next level.
+
+**You’ll learn how to:**
+- Navigate multiple dbt projects using dbt Explorer
+- Self-serve on data documentation
+- Trace dependencies at the model and column level
+- Identify opportunities to improve performance and data quality
+
+**Prerequisites:**
+- Familiarity with data platforms
+

From 653a9206aca7f6a0a6ccf9149c5b5797c91e8c50 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Tue, 24 Sep 2024 16:54:50 -0400
Subject: [PATCH 063/200] Update explorer-qs.md

added setup and part of first portion
---
 website/docs/guides/explorer-qs.md | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index b8283ea40e7..acf7b3b8004 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -32,3 +32,15 @@ Unlock the power of [dbt Explorer](/docs/collaborate/explore-projects) in this h
 **Prerequisites:**
 - Familiarity with data platforms
 
+## Setup
+Now we’ll be creating your dbt Cloud account and connecting it to a data warehouse. 
+- Go to this URL:  https://cloud.getdbt.com/coalesce-workshop-signup
+  - If you are already signed into dbt Cloud, sign out first!
+  - Enter your first name and last name
+  - Choose the “Exploring a dbt Mesh implementation with dbt Explorer” option.
+- Agree to the terms of service and click the “Complete Registration” button. Wait about 30 seconds, and you’ll be in the dbt Cloud project for this course, already connected to a data warehouse!
+
+## Get and overview of your project and view the status of your latest runs
+
+With dbt Explorer, you can view your project's resources (such as models, tests, and metrics), their lineage, and model consumption to gain a better understanding of its latest production state. Navigate and manage your projects within dbt Cloud to help you and other data developers, analysts, and consumers discover and leverage your dbt resources.
+

From d33aa6b7cc59e13bf213d1d6c93a5c7806588466 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Wed, 25 Sep 2024 12:47:46 +0100
Subject: [PATCH 064/200] add custom granularities

---
 .../docs/docs/build/metricflow-time-spine.md  | 78 +++++++++++++++++++
 .../docs/docs/dbt-versions/release-notes.md   |  1 +
 2 files changed, 79 insertions(+)

diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md
index 7fd196f7f7c..3316977f90f 100644
--- a/website/docs/docs/build/metricflow-time-spine.md
+++ b/website/docs/docs/build/metricflow-time-spine.md
@@ -20,6 +20,7 @@ To see the generated SQL for the metric and dimension types that use time-spine
 - You only need to configure time-spine models that the Semantic Layer should recognize.
 - At a minimum, define a time-spine table for a daily grain.
 - You can optionally define a time-spine table for a different granularity, like hourly.
+- If your organization uses [custom calendars](#custom-calendar) (like fiscal years) or custom granularities (like `retail_month`), you can configure those as well. Learn how to [add custom calendars and granularities](#add-custom-granularities) further down this page to help support specific business needs.
 - Note that if you don’t have a date or calendar model in your project, you'll need to create one. 
 - If you're looking to specify the grain of a time dimension so that MetricFlow can transform the underlying column to the required granularity, refer to the [Time granularity documentation](/docs/build/dimensions?dimension=time_gran)
 
@@ -36,13 +37,18 @@ If you don’t have a date dimension table, you can still create one by using th
 
 <Lightbox src="/img/time_spines.png" title="Time spine directory structure" />
 
+<VersionBlock firstVersion="1.9">
 <File name="models/_models.yml">
   
 ```yaml
 models:
   - name: time_spine_hourly
+    description: "my favorite time spine"
     time_spine:
       standard_granularity_column: date_hour # column for the standard grain of your table
+      custom_granularities:
+        - name: fiscal_year
+          column_name: fiscal_year_column
     columns:
       - name: date_hour
         granularity: hour # set granularity at column-level for standard_granularity_column
@@ -54,6 +60,29 @@ models:
         granularity: day # set granularity at column-level for standard_granularity_column
 ```
 </File>
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+<File name="models/_models.yml">
+  
+```yaml
+models:
+  - name: time_spine_hourly
+    description: "my favorite time spine"
+    time_spine:
+      standard_granularity_column: date_hour # column for the standard grain of your table
+    columns:
+      - name: date_hour
+        granularity: hour # set granularity at column-level for standard_granularity_column
+  - name: time_spine_daily
+    time_spine:
+      standard_granularity_column: date_day # column for the standard grain of your table
+    columns:
+      - name: date_day
+        granularity: day # set granularity at column-level for standard_granularity_column
+```
+</File>
+</VersionBlock>
 
 For an example project, refer to our [Jaffle shop](https://github.com/dbt-labs/jaffle-sl-template/blob/main/models/marts/_models.yml) example.
 
@@ -230,3 +259,52 @@ where date_day > dateadd(year, -4, current_timestamp())
 and date_hour < dateadd(day, 30, current_timestamp())
 ```
 </File>
+
+
+## Custom calendar
+
+<VersionBlock lastVersion="1.8">
+
+Being able to configure custom calendars, such as like a fiscal calendar, is available in [dbt Cloud Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless) or dbt Core [v1.9 and above](/docs/dbt-versions/core). 
+
+To access this feature, [upgrade to Versionless](/docs/dbt-versions/versionless-cloud) or dbt Core v1.9 and above.
+</VersionBlock>
+
+<VersionBlock firstVersion="1.9">
+
+If you use a custom calendar in your organization, such as a fiscal calendar, you can configure it in MetricFlow using its date and time operations. 
+
+This is useful for calculating metrics based on a custom calendar, such as fiscal quarters or weeks. Use the `custom_granularities` key to define a non-standard time period for querying data, such as a `retail_month` or `fiscal_week`, instead of standard options like `day`, `month`, or `year`. This feature provides more control over how time-based metrics are calculated.
+
+
+### Why use a custom calendar model?
+Custom date transformations can be complex, and organizations often have unique needs that can’t be easily generalized. Creating a custom calendar model allows you to define these transformations in SQL, offering more flexibility than native transformations in MetricFlow. This approach lets you map custom columns back to MetricFlow granularities, ensuring consistency while giving you control over the transformations.
+
+### Calendar model requirements
+
+To use a custom calendar model, ensure it meets the following requirements:
+
+- The model must be at a daily grain and joinable to other date columns using `date_day`.
+- Columns must align with expected data types for a given granularity (for example, `quarter` should be a date).
+- Support period-over-period calculations.
+- Support cumulative metric windows using custom granularities (for example, cumulative fiscal year-to-date bookings).
+
+### Add custom granularities
+
+To add custom granularities, the Semantic Layer supports custom calendar configurations that allow users to query data using non-standard time periods like `fiscal_year` or `retail_month`. You can define these custom granularities by modifying your model's YAML configuration like this:
+
+<File name="models/_models.yml">
+
+```yaml
+models:
+ - name: my_time_spine
+   description: "my favorite time spine"
+   time_spine:
+      standard_granularity_column: date_day
+      custom_granularities:
+        - name: fiscal_year
+          column_name: fiscal_year_column
+```          
+</File>
+
+</VersionBlock>
diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index f3a0c53844e..c885533a832 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -20,6 +20,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 
 ## September 2024
 
+- **New**: The dbt Semantic Layer supports custom calendar configurations in MetricFlow that allow you to query data using non-standard time periods like `fiscal_year` or `retail_month`. Refer to [custom calendar](/docs/build/metricflow-time-spine#custom-calendar) to learn how to define these custom granularities in your MetricFlow timespine YAML configuration.
 - **New:** There are two new [environment variable defaults](/docs/build/environment-variables#dbt-cloud-context) &mdash; `DBT_CLOUD_ENVIRONMENT_NAME` and `DBT_CLOUD_ENVIRONMENT_TYPE`.
 - **New:** The [Amazon Athena warehouse connection](/docs/cloud/connect-data-platform/connect-amazon-athena) is available as a public preview for dbt Cloud accounts that have upgraded to [`versionless`](/docs/dbt-versions/versionless-cloud).
 

From cf6500a84ab1c19b7e5941e6d1ee39f753b64dfd Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Wed, 25 Sep 2024 12:53:31 +0100
Subject: [PATCH 065/200] fix space

---
 website/docs/docs/build/metricflow-time-spine.md | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md
index 3316977f90f..af0baf5cb4b 100644
--- a/website/docs/docs/build/metricflow-time-spine.md
+++ b/website/docs/docs/build/metricflow-time-spine.md
@@ -13,10 +13,9 @@ MetricFlow requires you to define a time-spine table as a model-level configurat
 - [Metric offsets](/docs/build/derived#derived-metric-offset)
 - [Conversion metrics](/docs/build/conversion)
 - [Slowly Changing Dimensions](/docs/build/dimensions#scd-type-ii)
-- [Metrics](/docs/build/metrics-overview) with the `join_to_timespine` configuration set to true
-To see the generated SQL for the metric and dimension types that use time-spine joins, refer to the respective documentation or add the `compile=True` flag when querying the Semantic Layer to return the compiled SQL.
+- [Metrics](/docs/build/metrics-overview) with the `join_to_timespine` configuration set to `true`. To see the generated SQL for the metric and dimension types that use time-spine joins, refer to the respective documentation or add the `compile=True` flag when querying the Semantic Layer to return the compiled SQL.
 
-#### Configuring time-spine
+### Configuring time-spine
 - You only need to configure time-spine models that the Semantic Layer should recognize.
 - At a minimum, define a time-spine table for a daily grain.
 - You can optionally define a time-spine table for a different granularity, like hourly.

From 07816ee6b81c2ebf1b30bf12b68157c6f0ec3696 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Wed, 25 Sep 2024 12:55:49 +0100
Subject: [PATCH 066/200] fix order

---
 website/docs/docs/build/metricflow-time-spine.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md
index af0baf5cb4b..2f15f0b2923 100644
--- a/website/docs/docs/build/metricflow-time-spine.md
+++ b/website/docs/docs/build/metricflow-time-spine.md
@@ -271,13 +271,13 @@ To access this feature, [upgrade to Versionless](/docs/dbt-versions/versionless-
 
 <VersionBlock firstVersion="1.9">
 
-If you use a custom calendar in your organization, such as a fiscal calendar, you can configure it in MetricFlow using its date and time operations. 
-
-This is useful for calculating metrics based on a custom calendar, such as fiscal quarters or weeks. Use the `custom_granularities` key to define a non-standard time period for querying data, such as a `retail_month` or `fiscal_week`, instead of standard options like `day`, `month`, or `year`. This feature provides more control over how time-based metrics are calculated.
+Custom date transformations can be complex, and organizations often have unique needs that can’t be easily generalized. Creating a custom calendar model allows you to define these transformations in SQL, offering more flexibility than native transformations in MetricFlow. This approach lets you map custom columns back to MetricFlow granularities, ensuring consistency while giving you control over the transformations.
 
+For example, if you use a custom calendar in your organization, such as a fiscal calendar, you can configure it in MetricFlow using its date and time operations. 
 
-### Why use a custom calendar model?
-Custom date transformations can be complex, and organizations often have unique needs that can’t be easily generalized. Creating a custom calendar model allows you to define these transformations in SQL, offering more flexibility than native transformations in MetricFlow. This approach lets you map custom columns back to MetricFlow granularities, ensuring consistency while giving you control over the transformations.
+- This is useful for calculating metrics based on a custom calendar, such as fiscal quarters or weeks. 
+- Use the `custom_granularities` key to define a non-standard time period for querying data, such as a `retail_month` or `fiscal_week`, instead of standard options like `day`, `month`, or `year`. 
+- This feature provides more control over how time-based metrics are calculated.
 
 ### Calendar model requirements
 

From 15e86c2acc2b0eab3960c2439e3928edaef0b0f9 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Wed, 25 Sep 2024 13:01:59 +0100
Subject: [PATCH 067/200] add headers

---
 website/docs/docs/build/metricflow-time-spine.md | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md
index 2f15f0b2923..1e5154789c3 100644
--- a/website/docs/docs/build/metricflow-time-spine.md
+++ b/website/docs/docs/build/metricflow-time-spine.md
@@ -30,7 +30,7 @@ For example, given the following directory structure, you can create two time sp
 :::tip 
 Previously, you had to create a model called `metricflow_time_spine` in your dbt project. Now, if your project already includes a date dimension or time spine table, you can simply configure MetricFlow to use that table by updating the `model` setting in the Semantic Layer.
 
-If you don’t have a date dimension table, you can still create one by using the code snippet below to build your time spine model.
+If you don’t have a date dimension table, you can still create one by using the following code snippet to build your time spine model.
 
 :::
 
@@ -85,9 +85,10 @@ models:
 
 For an example project, refer to our [Jaffle shop](https://github.com/dbt-labs/jaffle-sl-template/blob/main/models/marts/_models.yml) example.
 
-Now, break down the configuration above. It's pointing to a model called `time_spine_daily`. It sets the time spine configurations under the `time_spine` key. The `standard_granularity_column` is the lowest grain of the table, in this case, it's hourly. It needs to reference a column defined under the columns key, in this case, `date_hour`. Use the `standard_granularity_column` as the join key for the time spine table when joining tables in MetricFlow. Here, the granularity of the `standard_granularity_column` is set at the column level, in this case, `hour`.
-
+#### Understanding time-spine and granularity
+The previous configuration demonstrates a time-spine model called `time_spine_daily`. It sets the time spine configurations under the `time_spine` key. The `standard_granularity_column` is the lowest grain of the table, in this case, it's hourly. It needs to reference a column defined under the columns key, in this case, `date_hour`. Use the `standard_granularity_column` as the join key for the time spine table when joining tables in MetricFlow. Here, the granularity of the `standard_granularity_column` is set at the column level, in this case, `hour`. Additionally, the `custom_granularities` field lets you specify non-standard time periods like `fiscal_year` or `retail_month` that your organization may use.
 
+#### Creating a time-spine table
 If you need to create a time spine table from scratch, you can do so by adding the following code to your dbt project. 
 The example creates a time spine at a daily grain and an hourly grain. A few things to note when creating time spine models:
 * MetricFlow will use the time spine with the largest compatible granularity for a given query to ensure the most efficient query possible. For example, if you have a time spine at a monthly grain, and query a dimension at a monthly grain, MetricFlow will use the monthly time spine. If you only have a daily time spine, MetricFlow will use the daily time spine and date_trunc to month.

From a40c9df1142e29ee9c07ef2c48ae3dcb31efc769 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Wed, 25 Sep 2024 14:30:23 -0400
Subject: [PATCH 068/200] Update explorer-qs.md

added everything but images
---
 website/docs/guides/explorer-qs.md | 60 ++++++++++++++++++++++++++++++
 1 file changed, 60 insertions(+)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index acf7b3b8004..242f52a0294 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -42,5 +42,65 @@ Now we’ll be creating your dbt Cloud account and connecting it to a data wareh
 
 ## Get and overview of your project and view the status of your latest runs
 
+image goes here
+
 With dbt Explorer, you can view your project's resources (such as models, tests, and metrics), their lineage, and model consumption to gain a better understanding of its latest production state. Navigate and manage your projects within dbt Cloud to help you and other data developers, analysts, and consumers discover and leverage your dbt resources.
 
+#### Hands-On
+- Explore the Model tab 
+  - Which job took the Longest? 
+  - Which job/jobs failed? Why?
+- Explore the Sources tab
+  - What sources can we see?
+- Explore the Tests Tab
+  - Did we run the right test?, Which test were missing? Why?
+- Explore Exposures 
+  - Check Quality and where they came from
+ 
+## Lineage
+
+dbt Explorer provides a visualization of your project’s [DAG](/terms/dag) that you can interact with. The nodes in the lineage graph represent the project’s resources and the edges represent the relationships between the nodes. Nodes are color-coded and include iconography according to their resource type.
+
+image goes here
+
+- Use the search bar and [node selectors](/reference/node-selection/syntax) to filter your dag.
+- [Lenses](docs/collaborate/explore-projects#lenses) make it easier to understand your project’s contextual metadata at scales, especially to distinguish a particular model or a subset of models.
+  - When you apply a lens, tags become visible on the nodes in the lineage graph, indicating the layer value along with coloration based on that value
+
+ image goes here
+  
+- Use the [advanced search](/docs/collaborate/explore-projects#search-resources) feature to locate resources in your project. Perform hard searches and key word searches. All resource names, column names, resources descriptions, warehouse relations, and code matching your search criteria will appear in the center of the page. Apply filters to fully refine your search
+- When searching for a column name, the results show all relational nodes containing htat column in their schemas. 
+
+image goes here
+
+#### Hands-On
+- On the left hand side, Click on the company and make sure you are in the section “overview of Project Details → Next to Overview → View Lineage
+- Pick a Mart Model → Select Everything downstream
+  - Which models depend on models from another project?
+    - Click on the other Projects lineage
+- Explore lenses – Explore table materializations clustered in current Project
+  - Which are the biggest view clusters?
+- Explore different lenses (Model Layer, Test Status, Resource)
+- Drill down on a node→ Explore the Column Lineage and its Evolution
+  - Expand each columns full lineage
+
+
+## Mutli-Project
+Use dbt Explorer to gain a deeper understanding of *all* of you dbt Cloud projects with it's [multi-project capabilities](/docs/collaborate/explore-multiple-projects). 
+- See the number of public models, protected models, private models, and metrics in each project.
+- View cross-project lineage and navigate between individual projects’ lineage graphs
+- View cross-project column-level lineage
+
+#### Hands-On
+- See which models in the platform project are public and being referenced by another project.
+- Swap between two projects’ lineages. Explore the  assets provided.
+  - What sources can we see?
+- Use multi-project column level lineage to find a column that exists in models in multiple projects.
+
+## Project Recommendations
+The [project recommendations](/docs/collaborate/project-recommendations) page suggests project improvements and provides insight into how you can create a better-documented, better-tested, and better-built dbt project, creating more trust and less confusion.
+Learn more about what sort of suggestions it makes and why on our [docs site](/docs/collaborate/project-recommendations).
+
+#### Hands-On
+- Read through the project recommendations. Select one improvement to make and make it! (Ex: Add a description to a primary key that lacks one)

From 8c2f62cf7e088a438695703e0d1339daee3f1e91 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Wed, 25 Sep 2024 15:37:15 -0400
Subject: [PATCH 069/200] Add files via upload

---
 .../dbt-cloud/explorer_performance_tab.png      | Bin 0 -> 19746 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 website/static/img/quickstarts/dbt-cloud/explorer_performance_tab.png

diff --git a/website/static/img/quickstarts/dbt-cloud/explorer_performance_tab.png b/website/static/img/quickstarts/dbt-cloud/explorer_performance_tab.png
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From 0da2ebb6533fc9fc99c0c53e82d155193d211dd0 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Wed, 25 Sep 2024 15:56:16 -0400
Subject: [PATCH 070/200] Add files via upload

---
 .../quickstarts/dbt-cloud/dbt_explorer_dag.png  | Bin 0 -> 32498 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 website/static/img/quickstarts/dbt-cloud/dbt_explorer_dag.png

diff --git a/website/static/img/quickstarts/dbt-cloud/dbt_explorer_dag.png b/website/static/img/quickstarts/dbt-cloud/dbt_explorer_dag.png
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From c593c59010f8b2df362df197cfb0ca62ad591ffe Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Wed, 25 Sep 2024 15:59:08 -0400
Subject: [PATCH 071/200] Add files via upload

---
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 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 website/static/img/quickstarts/dbt-cloud/dbt_explorer_advanced_search.png

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From 389b1b0c09cadac47d13e1d46e3cce171c4d1702 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Wed, 25 Sep 2024 16:02:29 -0400
Subject: [PATCH 072/200] Add files via upload

---
 .../dbt-cloud/dbt_explorer_project_recs.png    | Bin 0 -> 187270 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 website/static/img/quickstarts/dbt-cloud/dbt_explorer_project_recs.png

diff --git a/website/static/img/quickstarts/dbt-cloud/dbt_explorer_project_recs.png b/website/static/img/quickstarts/dbt-cloud/dbt_explorer_project_recs.png
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From bb4b3747db905028d770e892cbd3e20834036e00 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Wed, 25 Sep 2024 16:03:04 -0400
Subject: [PATCH 073/200] Update explorer-qs.md

added images
---
 website/docs/guides/explorer-qs.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index 242f52a0294..617d6e5d801 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -42,7 +42,7 @@ Now we’ll be creating your dbt Cloud account and connecting it to a data wareh
 
 ## Get and overview of your project and view the status of your latest runs
 
-image goes here
+   <Lightbox src="/img/quickstarts/dbt-cloud/explorer_performance_tab.png" title="dbt Explorer performance tab" />
 
 With dbt Explorer, you can view your project's resources (such as models, tests, and metrics), their lineage, and model consumption to gain a better understanding of its latest production state. Navigate and manage your projects within dbt Cloud to help you and other data developers, analysts, and consumers discover and leverage your dbt resources.
 
@@ -61,18 +61,16 @@ With dbt Explorer, you can view your project's resources (such as models, tests,
 
 dbt Explorer provides a visualization of your project’s [DAG](/terms/dag) that you can interact with. The nodes in the lineage graph represent the project’s resources and the edges represent the relationships between the nodes. Nodes are color-coded and include iconography according to their resource type.
 
-image goes here
-
 - Use the search bar and [node selectors](/reference/node-selection/syntax) to filter your dag.
 - [Lenses](docs/collaborate/explore-projects#lenses) make it easier to understand your project’s contextual metadata at scales, especially to distinguish a particular model or a subset of models.
   - When you apply a lens, tags become visible on the nodes in the lineage graph, indicating the layer value along with coloration based on that value
 
- image goes here
+ <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_dag.png" title="dbt Explorer's lineage graph" />
   
 - Use the [advanced search](/docs/collaborate/explore-projects#search-resources) feature to locate resources in your project. Perform hard searches and key word searches. All resource names, column names, resources descriptions, warehouse relations, and code matching your search criteria will appear in the center of the page. Apply filters to fully refine your search
 - When searching for a column name, the results show all relational nodes containing htat column in their schemas. 
 
-image goes here
+ <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_advanced_search.png" title="dbt Explorer's advanced search feature" />
 
 #### Hands-On
 - On the left hand side, Click on the company and make sure you are in the section “overview of Project Details → Next to Overview → View Lineage
@@ -102,5 +100,7 @@ Use dbt Explorer to gain a deeper understanding of *all* of you dbt Cloud projec
 The [project recommendations](/docs/collaborate/project-recommendations) page suggests project improvements and provides insight into how you can create a better-documented, better-tested, and better-built dbt project, creating more trust and less confusion.
 Learn more about what sort of suggestions it makes and why on our [docs site](/docs/collaborate/project-recommendations).
 
+ <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_project_recs.png" title="dbt Explorer's project recommendation tab" />
+
 #### Hands-On
 - Read through the project recommendations. Select one improvement to make and make it! (Ex: Add a description to a primary key that lacks one)

From 510fce4a9f756ea4acbe8a944ba6489d152c58e9 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Wed, 25 Sep 2024 16:03:47 -0400
Subject: [PATCH 074/200] Update explorer-qs.md

removed sl guide imports
---
 website/docs/guides/explorer-qs.md | 10 +---------
 1 file changed, 1 insertion(+), 9 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index 617d6e5d801..9466f33db6a 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -6,19 +6,11 @@ sidebar_label: "Quickstart dbt Explorer"
 icon: 'guides'
 hide_table_of_contents: true
 tags: ['Explorer', 'Snowflake', 'dbt Cloud','Quickstart']
-keywords: ['dbt Semantic Layer','Metrics','dbt Cloud', 'Snowflake', 'Google Sheets']
+keywords: ['dbt Explorer','Mesh','dbt Cloud', 'Snowflake', 'Multi-Project']
 level: 'Beginner'
 recently_updated: true
 ---
 
-<!-- The below snippets (or reusables) can be found in the following file locations in the docs code repository) -->
-import CreateModel from '/snippets/_sl-create-semanticmodel.md';
-import DefineMetrics from '/snippets/_sl-define-metrics.md';
-import ConfigMetric from '/snippets/_sl-configure-metricflow.md';
-import TestQuery from '/snippets/_sl-test-and-query-metrics.md';
-import ConnectQueryAPI from '/snippets/_sl-connect-and-query-api.md';
-import RunProdJob from '/snippets/_sl-run-prod-job.md';
-import SlSetUp from '/snippets/_new-sl-setup.md'; 
 
 ## Introduction
 Unlock the power of [dbt Explorer](/docs/collaborate/explore-projects) in this hands-on workshop designed for analytics engineers, data analysts, stakeholders, and data leaders! Dive into a production-level dbt Mesh implementation and discover how to explore your data workflows.⁠ Whether you're looking to streamline your data operations, improve data quality, or self-serve information about your data platform, this workshop will equip you with the tools and knowledge to take your dbt projects to the next level.

From a3a4b97bc1d21ae13bc7030d47e14d944c9a42f9 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 26 Sep 2024 09:47:24 +0100
Subject: [PATCH 075/200] Update website/docs/guides/explorer-qs.md

---
 website/docs/guides/explorer-qs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index 9466f33db6a..b09f71803a4 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -54,7 +54,7 @@ With dbt Explorer, you can view your project's resources (such as models, tests,
 dbt Explorer provides a visualization of your project’s [DAG](/terms/dag) that you can interact with. The nodes in the lineage graph represent the project’s resources and the edges represent the relationships between the nodes. Nodes are color-coded and include iconography according to their resource type.
 
 - Use the search bar and [node selectors](/reference/node-selection/syntax) to filter your dag.
-- [Lenses](docs/collaborate/explore-projects#lenses) make it easier to understand your project’s contextual metadata at scales, especially to distinguish a particular model or a subset of models.
+- [Lenses](/docs/collaborate/explore-projects#lenses) make it easier to understand your project’s contextual metadata at scales, especially to distinguish a particular model or a subset of models.
   - When you apply a lens, tags become visible on the nodes in the lineage graph, indicating the layer value along with coloration based on that value
 
  <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_dag.png" title="dbt Explorer's lineage graph" />

From 5fe1a58f937e62599672cb15e38406a43262e26d Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 26 Sep 2024 10:02:15 +0100
Subject: [PATCH 076/200] add sm

---
 website/docs/docs/cloud/dbt-assist.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/cloud/dbt-assist.md b/website/docs/docs/cloud/dbt-assist.md
index eafe7d05821..1ad82642deb 100644
--- a/website/docs/docs/cloud/dbt-assist.md
+++ b/website/docs/docs/cloud/dbt-assist.md
@@ -11,7 +11,7 @@ pagination_prev: null
 dbt Assist is a powerful artificial intelligence (AI) co-pilot feature that helps automate development in dbt Cloud, allowing you to focus on delivering data that works. dbt Assist’s AI co-pilot generates [documentation](/docs/build/documentation) and [tests](/docs/build/data-tests) for your dbt SQL models directly in the dbt Cloud IDE, with a click of a button, and helps you accomplish more in less time.
 
 :::tip Beta feature
-dbt Assist is an AI tool meant to _help_ developers generate documentation and tests in dbt Cloud. It's available in beta, in the dbt Cloud IDE only.
+dbt Assist is an AI tool meant to _help_ developers generate documentation, semantic models, and tests in dbt Cloud. It's available in beta, in the dbt Cloud IDE only.
 
 To use dbt Assist, you must have an active [dbt Cloud Enterprise account](https://www.getdbt.com/pricing) and agree to use dbt Labs' OpenAI key. [Register your interest](https://docs.google.com/forms/d/e/1FAIpQLScPjRGyrtgfmdY919Pf3kgqI5E95xxPXz-8JoVruw-L9jVtxg/viewform) to join the private beta or reach out to your account team to begin this process.
 :::

From 1b01bdf751174b38bc789fb727dee2ddfb67e3f4 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 26 Sep 2024 10:11:02 +0100
Subject: [PATCH 077/200] add sm support to docs

---
 website/docs/docs/cloud/dbt-assist.md                       | 4 ++--
 .../docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md   | 6 +++---
 website/docs/docs/cloud/use-dbt-assist.md                   | 6 +++---
 3 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/website/docs/docs/cloud/dbt-assist.md b/website/docs/docs/cloud/dbt-assist.md
index 1ad82642deb..ab0d524364f 100644
--- a/website/docs/docs/cloud/dbt-assist.md
+++ b/website/docs/docs/cloud/dbt-assist.md
@@ -8,7 +8,7 @@ pagination_prev: null
 
 # About dbt Assist <Lifecycle status='beta'/> 
 
-dbt Assist is a powerful artificial intelligence (AI) co-pilot feature that helps automate development in dbt Cloud, allowing you to focus on delivering data that works. dbt Assist’s AI co-pilot generates [documentation](/docs/build/documentation) and [tests](/docs/build/data-tests) for your dbt SQL models directly in the dbt Cloud IDE, with a click of a button, and helps you accomplish more in less time.
+dbt Assist is a powerful artificial intelligence (AI) co-pilot feature that helps automate development in dbt Cloud, allowing you to focus on delivering data that works. dbt Assist’s AI co-pilot generates [documentation](/docs/build/documentation), [semantic models](/docs/build/semantic-models), and [tests](/docs/build/data-tests) for your dbt SQL models directly in the dbt Cloud IDE, with a click of a button, and helps you accomplish more in less time.
 
 :::tip Beta feature
 dbt Assist is an AI tool meant to _help_ developers generate documentation, semantic models, and tests in dbt Cloud. It's available in beta, in the dbt Cloud IDE only.
@@ -16,7 +16,7 @@ dbt Assist is an AI tool meant to _help_ developers generate documentation, sema
 To use dbt Assist, you must have an active [dbt Cloud Enterprise account](https://www.getdbt.com/pricing) and agree to use dbt Labs' OpenAI key. [Register your interest](https://docs.google.com/forms/d/e/1FAIpQLScPjRGyrtgfmdY919Pf3kgqI5E95xxPXz-8JoVruw-L9jVtxg/viewform) to join the private beta or reach out to your account team to begin this process.
 :::
 
-<Lightbox src="/img/docs/dbt-cloud/cloud-ide/dbt-assist-doc.gif" width="100%" title="Use dbt Assist, a powerful AI feature, to automatically generate tests and documentation in the dbt Cloud IDE." />
+<Lightbox src="/img/docs/dbt-cloud/cloud-ide/dbt-assist-doc.gif" width="100%" title="Use dbt Assist, a powerful AI feature, to automatically generate tests, semantic models, and documentation in the dbt Cloud IDE." />
 
 ## Feedback
 
diff --git a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md
index a5e385e454d..b0d5525c796 100644
--- a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md
+++ b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md
@@ -13,7 +13,7 @@ The dbt Cloud integrated development environment (IDE) is a single web-based int
 The dbt Cloud IDE offers several [keyboard shortcuts](/docs/cloud/dbt-cloud-ide/keyboard-shortcuts) and [editing features](/docs/cloud/dbt-cloud-ide/ide-user-interface#editing-features) for faster and efficient development and governance:
 
 - Syntax highlighting for SQL &mdash; Makes it easy to distinguish different parts of your code, reducing syntax errors and enhancing readability.
-- AI co-pilot &mdash; Use [dbt Assist](/docs/cloud/dbt-assist), a powerful AI co-pilot feature, to generate documentation and tests for your dbt SQL models.
+- AI co-pilot &mdash; Use [dbt Assist](/docs/cloud/dbt-assist), a powerful AI co-pilot feature, to generate documentation, semantic models, and tests for your dbt SQL models.
 - Auto-completion &mdash; Suggests table names, arguments, and column names as you type, saving time and reducing typos.
 - Code [formatting and linting](/docs/cloud/dbt-cloud-ide/lint-format) &mdash; Helps standardize and fix your SQL code effortlessly.
 - Navigation tools &mdash; Easily move around your code, jump to specific lines, find and replace text, and navigate between project files.
@@ -55,7 +55,7 @@ To understand how to navigate the IDE and its user interface elements, refer to
 | [**Keyboard shortcuts**](/docs/cloud/dbt-cloud-ide/keyboard-shortcuts) | You can access a variety of [commands and actions](/docs/cloud/dbt-cloud-ide/keyboard-shortcuts) in the IDE by choosing the appropriate keyboard shortcut. Use the shortcuts for common tasks like building modified models or resuming builds from the last failure. |
 | **IDE version control** | The IDE version control section and git button allow you to apply the concept of [version control](/docs/collaborate/git/version-control-basics) to your project directly into the IDE. <br /><br /> - Create or change branches, execute git commands using the git button.<br /> - Commit or revert individual files by right-clicking the edited file<br /> - [Resolve merge conflicts](/docs/collaborate/git/merge-conflicts)<br /> - Link to the repo directly by clicking the branch name <br /> - Edit, format, or lint files and execute dbt commands in your primary protected branch, and commit to a new branch.<br /> - Use Git diff view to view what has been changed in a file before you make a pull request.<br /> - From dbt version 1.6 and higher, use the **Prune branches** [button](/docs/cloud/dbt-cloud-ide/ide-user-interface#prune-branches-modal) to delete local branches that have been deleted from the remote repository, keeping your branch management tidy. |
 | **Preview and Compile button** | You can [compile or preview](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section) code, a snippet of dbt code, or one of your dbt models after editing and saving. |
-| [**dbt Assist**](/docs/cloud/dbt-assist) <Lifecycle status='beta' />| A powerful AI co-pilot feature that generates documentation and tests for your dbt SQL models. Available for dbt Cloud Enterprise plans. |
+| [**dbt Assist**](/docs/cloud/dbt-assist) <Lifecycle status='beta' />| A powerful AI co-pilot feature that generates documentation, semantic models, and tests for your dbt SQL models. Available for dbt Cloud Enterprise plans. |
 | **Build, test, and run button**  | Build, test, and run your project with a button click or by using the Cloud IDE command bar.  
 | **Command bar** | You can enter and run commands from the command bar at the bottom of the IDE. Use the [rich model selection syntax](/reference/node-selection/syntax) to execute [dbt commands](/reference/dbt-commands) directly within dbt Cloud. You can also view the history, status, and logs of previous runs by clicking History on the left of the bar.
 | **Drag and drop**  | Drag and drop files located in the file explorer, and use the file breadcrumb on the top of the IDE for quick, linear navigation. Access adjacent files in the same file by right-clicking on the breadcrumb file.  
@@ -129,7 +129,7 @@ Nice job, you're ready to start developing and building models 🎉!
   - Use dbt's [rich model selection syntax](/reference/node-selection/syntax) to [run dbt commands](/reference/dbt-commands) directly within dbt Cloud.
   - Starting from dbt v1.6, leverage [environments variables](/docs/build/environment-variables#special-environment-variables) to dynamically use the Git branch name. For example, using the branch name as a prefix for a development schema.
 
-- **Generate your YAML configurations with dbt Assist** <Lifecycle status="beta"/>  &mdash; [dbt Assist](/docs/cloud/dbt-assist) is a powerful artificial intelligence (AI) co-pilot feature that helps automate development in dbt Cloud. It generates documentation and tests for your dbt SQL models directly in the dbt Cloud IDE, with a click of a button, and helps you accomplish more in less time. Available for dbt Cloud Enterprise plans.
+- **Generate your YAML configurations with dbt Assist** <Lifecycle status="beta"/>  &mdash; [dbt Assist](/docs/cloud/dbt-assist) is a powerful artificial intelligence (AI) co-pilot feature that helps automate development in dbt Cloud. It generates documentation, semantic models, and tests for your dbt SQL models directly in the dbt Cloud IDE, with a click of a button, and helps you accomplish more in less time. Available for dbt Cloud Enterprise plans.
 
 - **Build and view your project's docs** &mdash; The dbt Cloud IDE makes it possible to [build and view](/docs/collaborate/build-and-view-your-docs) documentation for your dbt project while your code is still in development. With this workflow, you can inspect and verify what your project's generated documentation will look like before your changes are released to production.
 
diff --git a/website/docs/docs/cloud/use-dbt-assist.md b/website/docs/docs/cloud/use-dbt-assist.md
index 4eef6c87329..096d6751525 100644
--- a/website/docs/docs/cloud/use-dbt-assist.md
+++ b/website/docs/docs/cloud/use-dbt-assist.md
@@ -6,17 +6,17 @@ description: "Use dbt Assist to generate documentation and tests from scratch, g
 
 # Use dbt Assist <Lifecycle status='beta'/> 
 
-Use dbt Assist to generate documentation and tests from scratch, giving you the flexibility to modify or fix generated code. To access and use dbt Assist:
+Use dbt Assist to generate documentation, semantic model, and tests from scratch, giving you the flexibility to modify or fix generated code. To access and use dbt Assist:
 
 1. Navigate to the dbt Cloud IDE and select a SQL model file under the **File Explorer**.
 
 2. In the **Console** section (under the **File Editor**), select the **dbt Assist** to view the available AI options.
 
-3. Select the available options: **Documentation** or **Tests** to generate the YAML config.
+3. Select the available options: **Generate Documentation**, **Generate Tests**, or **Generate Semantic Model** to generate the YAML config.
    - To generate both for the same model, click each option separately. dbt Assist intelligently saves the YAML config in the same file.
 
 4. Verify the AI-generated code. You can update or fix the code as needed.
 
 5. Click **Save** to save the code. You should see the file changes under the **Version control** section.
 
-<Lightbox src="/img/docs/dbt-cloud/cloud-ide/dbt-assist-doc.gif" width="100%" title="Use dbt Assist, a powerful AI feature, to automatically generate tests and documentation in the dbt Cloud IDE." />
+<Lightbox src="/img/docs/dbt-cloud/cloud-ide/dbt-assist-doc.gif" width="100%" title="Use dbt Assist, a powerful AI feature, to automatically generate documentation, semantic models, and tests in the dbt Cloud IDE." />

From 5f86552d9dce2b01d051a1a864fbe052ff76417f Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 26 Sep 2024 11:17:28 +0100
Subject: [PATCH 078/200] Update website/docs/guides/explorer-qs.md

---
 website/docs/guides/explorer-qs.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index b09f71803a4..e147d8a64fb 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -1,6 +1,5 @@
 ---
 title: "Quickstart for the dbt Explorer Workshop"
-id: ex-qs
 description: "Use this guide to build and define metrics, set up the dbt Cloud Semantic Layer, and query them using Google Sheets."
 sidebar_label: "Quickstart dbt Explorer"
 icon: 'guides'

From dda8d8aabbce7fad84786476dd737dcadab91f0e Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 26 Sep 2024 11:17:34 +0100
Subject: [PATCH 079/200] Update website/docs/guides/explorer-qs.md

---
 website/docs/guides/explorer-qs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index e147d8a64fb..ee37d47b2ce 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -1,5 +1,5 @@
 ---
-title: "Quickstart for the dbt Explorer Workshop"
+title: "Quickstart for the dbt Explorer workshop"
 description: "Use this guide to build and define metrics, set up the dbt Cloud Semantic Layer, and query them using Google Sheets."
 sidebar_label: "Quickstart dbt Explorer"
 icon: 'guides'

From 7a1942edaf94583f0850644e36b14ae1a59a5ec1 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 26 Sep 2024 11:33:34 +0100
Subject: [PATCH 080/200] update first page

---
 website/docs/guides/explorer-qs.md | 20 ++++++++++++++------
 1 file changed, 14 insertions(+), 6 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index ee37d47b2ce..e1f3ce0e18b 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -12,15 +12,21 @@ recently_updated: true
 
 
 ## Introduction
-Unlock the power of [dbt Explorer](/docs/collaborate/explore-projects) in this hands-on workshop designed for analytics engineers, data analysts, stakeholders, and data leaders! Dive into a production-level dbt Mesh implementation and discover how to explore your data workflows.⁠ Whether you're looking to streamline your data operations, improve data quality, or self-serve information about your data platform, this workshop will equip you with the tools and knowledge to take your dbt projects to the next level.
 
-**You’ll learn how to:**
+Unlock the power of [dbt Explorer](/docs/collaborate/explore-projects) in this hands-on workshop designed for analytics engineers, data analysts, stakeholders, and data leaders.
+
+This quickstart guide accompanies the Explorer hands-on workshop and help you dive into a production-level dbt Mesh implementation and discover how to explore your data workflows.⁠ Whether you're looking to streamline your data operations, improve data quality, or self-serve information about your data platform, this workshop will equip you with the tools and knowledge to take your dbt projects to the next level.
+
+By the end of the guide and workshop, you'll understand how to leverage dbt Explorer and have the confidence to navigate multiple dbt projects, trace dependencies, and identify opportunities to improve performance and data quality.
+
+### What you'll learn
+In this guide, you will learn how to:
 - Navigate multiple dbt projects using dbt Explorer
 - Self-serve on data documentation
 - Trace dependencies at the model and column level
 - Identify opportunities to improve performance and data quality
 
-**Prerequisites:**
+### Prerequisites
 - Familiarity with data platforms
 
 ## Setup
@@ -28,8 +34,10 @@ Now we’ll be creating your dbt Cloud account and connecting it to a data wareh
 - Go to this URL:  https://cloud.getdbt.com/coalesce-workshop-signup
   - If you are already signed into dbt Cloud, sign out first!
   - Enter your first name and last name
-  - Choose the “Exploring a dbt Mesh implementation with dbt Explorer” option.
-- Agree to the terms of service and click the “Complete Registration” button. Wait about 30 seconds, and you’ll be in the dbt Cloud project for this course, already connected to a data warehouse!
+  - Choose the **Exploring a dbt Mesh implementation with dbt Explorer** option.
+  - Enter the password provided by the workshop facilitator
+- Agree to the terms of service and click the **Complete Registration** button.
+- Wait about 30 seconds, and you’ll be in the dbt Cloud project for this course, already connected to a data warehouse!
 
 ## Get and overview of your project and view the status of your latest runs
 
@@ -50,7 +58,7 @@ With dbt Explorer, you can view your project's resources (such as models, tests,
  
 ## Lineage
 
-dbt Explorer provides a visualization of your project’s [DAG](/terms/dag) that you can interact with. The nodes in the lineage graph represent the project’s resources and the edges represent the relationships between the nodes. Nodes are color-coded and include iconography according to their resource type.
+dbt Explorer provides a visualization of your project’s <Term id="dag"/> that you can interact with. The nodes in the lineage graph represent the project’s resources and the edges represent the relationships between the nodes. Nodes are color-coded and include iconography according to their resource type.
 
 - Use the search bar and [node selectors](/reference/node-selection/syntax) to filter your dag.
 - [Lenses](/docs/collaborate/explore-projects#lenses) make it easier to understand your project’s contextual metadata at scales, especially to distinguish a particular model or a subset of models.

From 23b43cf4accf47f8a7c238fc8a1951be9a1a727a Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 26 Sep 2024 11:46:04 +0100
Subject: [PATCH 081/200] tweaks

---
 website/docs/guides/explorer-qs.md | 47 ++++++++++++++++--------------
 1 file changed, 25 insertions(+), 22 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index e1f3ce0e18b..580aef4b928 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -32,28 +32,31 @@ In this guide, you will learn how to:
 ## Setup
 Now we’ll be creating your dbt Cloud account and connecting it to a data warehouse. 
 - Go to this URL:  https://cloud.getdbt.com/coalesce-workshop-signup
-  - If you are already signed into dbt Cloud, sign out first!
-  - Enter your first name and last name
-  - Choose the **Exploring a dbt Mesh implementation with dbt Explorer** option.
-  - Enter the password provided by the workshop facilitator
+  - Sign out if you're already logged in.
+  - Enter your first name and last name.
+  - Select the **Exploring a dbt Mesh implementation with dbt Explorer** option.
+  - Use the password provided by the workshop facilitator.
 - Agree to the terms of service and click the **Complete Registration** button.
-- Wait about 30 seconds, and you’ll be in the dbt Cloud project for this course, already connected to a data warehouse!
+- Wait about 30 seconds, you’ll be in the dbt Cloud project for this course and already connected to a data warehouse.
 
-## Get and overview of your project and view the status of your latest runs
+## Project overview and latest run status
 
-   <Lightbox src="/img/quickstarts/dbt-cloud/explorer_performance_tab.png" title="dbt Explorer performance tab" />
+<Lightbox src="/img/quickstarts/dbt-cloud/explorer_performance_tab.png" width="90%" title="dbt Explorer performance tab" />
 
 With dbt Explorer, you can view your project's resources (such as models, tests, and metrics), their lineage, and model consumption to gain a better understanding of its latest production state. Navigate and manage your projects within dbt Cloud to help you and other data developers, analysts, and consumers discover and leverage your dbt resources.
 
-#### Hands-On
-- Explore the Model tab 
+### Hands-On
+- Explore the **Model** tab 
   - Which job took the Longest? 
   - Which job/jobs failed? Why?
-- Explore the Sources tab
+
+- Explore the **Sources** tab
   - What sources can we see?
-- Explore the Tests Tab
+
+- Explore the **Tests** Tab
   - Did we run the right test?, Which test were missing? Why?
-- Explore Exposures 
+
+- Explore **Exposures** 
   - Check Quality and where they came from
  
 ## Lineage
@@ -62,23 +65,23 @@ dbt Explorer provides a visualization of your project’s <Term id="dag"/> that
 
 - Use the search bar and [node selectors](/reference/node-selection/syntax) to filter your dag.
 - [Lenses](/docs/collaborate/explore-projects#lenses) make it easier to understand your project’s contextual metadata at scales, especially to distinguish a particular model or a subset of models.
-  - When you apply a lens, tags become visible on the nodes in the lineage graph, indicating the layer value along with coloration based on that value
+  - Applying a lens adds tags to the nodes, showing metadata like layer values, with color coding to help you distinguish them.
 
- <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_dag.png" title="dbt Explorer's lineage graph" />
+ <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_dag.png" width="90%" title="dbt Explorer's lineage graph" />
   
-- Use the [advanced search](/docs/collaborate/explore-projects#search-resources) feature to locate resources in your project. Perform hard searches and key word searches. All resource names, column names, resources descriptions, warehouse relations, and code matching your search criteria will appear in the center of the page. Apply filters to fully refine your search
-- When searching for a column name, the results show all relational nodes containing htat column in their schemas. 
+- Use the [advanced search](/docs/collaborate/explore-projects#search-resources) feature to locate resources in your project. Perform hard searches and keyword searches. All resource names, column names, resources descriptions, warehouse relations, and code matching your search criteria will appear in the center of the page. Apply filters to fully refine your search
+- When searching for a column name, the results show all relational nodes containing that column in their schemas. 
 
- <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_advanced_search.png" title="dbt Explorer's advanced search feature" />
+ <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_advanced_search.png" width="90%" title="dbt Explorer's advanced search feature" />
 
 #### Hands-On
-- On the left hand side, Click on the company and make sure you are in the section “overview of Project Details → Next to Overview → View Lineage
-- Pick a Mart Model → Select Everything downstream
+1. On the left hand side, click on the company and ensure you're in the **Overview Project details** section → Next to **Overview** → Select **View Lineage**.
+2. Select a mart model and select everything downstream.
   - Which models depend on models from another project?
-    - Click on the other Projects lineage
-- Explore lenses – Explore table materializations clustered in current Project
+  - Click on the other project's lineage.
+3. Explore lenses and find table materializations in your current project.
   - Which are the biggest view clusters?
-- Explore different lenses (Model Layer, Test Status, Resource)
+4. Experiment with different lenses, such as **Model Layer**, **Test Status**, or **Resource**.
 - Drill down on a node→ Explore the Column Lineage and its Evolution
   - Expand each columns full lineage
 

From 01307800d3cb96e9367f1566cae5e18ff72f7388 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 26 Sep 2024 11:54:57 +0100
Subject: [PATCH 082/200] add id

---
 website/docs/guides/explorer-qs.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index 580aef4b928..73efe048fa5 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -1,5 +1,6 @@
 ---
 title: "Quickstart for the dbt Explorer workshop"
+id: "explorer-quickstart"
 description: "Use this guide to build and define metrics, set up the dbt Cloud Semantic Layer, and query them using Google Sheets."
 sidebar_label: "Quickstart dbt Explorer"
 icon: 'guides'
@@ -81,10 +82,9 @@ dbt Explorer provides a visualization of your project’s <Term id="dag"/> that
   - Click on the other project's lineage.
 3. Explore lenses and find table materializations in your current project.
   - Which are the biggest view clusters?
-4. Experiment with different lenses, such as **Model Layer**, **Test Status**, or **Resource**.
-- Drill down on a node→ Explore the Column Lineage and its Evolution
-  - Expand each columns full lineage
-
+4. Experiment with different lenses, such as **Model layer**, **Test status**, **Resource type**, and so on.
+5. Drill down on a node and explore the **Column Lineage** and its evolution.
+  - Expand each column's full lineage.
 
 ## Mutli-Project
 Use dbt Explorer to gain a deeper understanding of *all* of you dbt Cloud projects with it's [multi-project capabilities](/docs/collaborate/explore-multiple-projects). 

From c0d90da24b4edf058d20e758023e2e471b0aec08 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 26 Sep 2024 12:52:36 +0100
Subject: [PATCH 083/200] add next steps

---
 website/docs/guides/explorer-qs.md | 75 +++++++++++++++++++-----------
 1 file changed, 49 insertions(+), 26 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index 73efe048fa5..5ba74a13066 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -11,7 +11,6 @@ level: 'Beginner'
 recently_updated: true
 ---
 
-
 ## Introduction
 
 Unlock the power of [dbt Explorer](/docs/collaborate/explore-projects) in this hands-on workshop designed for analytics engineers, data analysts, stakeholders, and data leaders.
@@ -42,7 +41,7 @@ Now we’ll be creating your dbt Cloud account and connecting it to a data wareh
 
 ## Project overview and latest run status
 
-<Lightbox src="/img/quickstarts/dbt-cloud/explorer_performance_tab.png" width="90%" title="dbt Explorer performance tab" />
+<Lightbox src="/img/quickstarts/dbt-cloud/explorer_performance_tab.png" width="100%" title="dbt Explorer performance tab" />
 
 With dbt Explorer, you can view your project's resources (such as models, tests, and metrics), their lineage, and model consumption to gain a better understanding of its latest production state. Navigate and manage your projects within dbt Cloud to help you and other data developers, analysts, and consumers discover and leverage your dbt resources.
 
@@ -64,45 +63,69 @@ With dbt Explorer, you can view your project's resources (such as models, tests,
 
 dbt Explorer provides a visualization of your project’s <Term id="dag"/> that you can interact with. The nodes in the lineage graph represent the project’s resources and the edges represent the relationships between the nodes. Nodes are color-coded and include iconography according to their resource type.
 
-- Use the search bar and [node selectors](/reference/node-selection/syntax) to filter your dag.
+- Use the search bar and [node selectors](/reference/node-selection/syntax) to filter your DAG.
 - [Lenses](/docs/collaborate/explore-projects#lenses) make it easier to understand your project’s contextual metadata at scales, especially to distinguish a particular model or a subset of models.
   - Applying a lens adds tags to the nodes, showing metadata like layer values, with color coding to help you distinguish them.
 
- <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_dag.png" width="90%" title="dbt Explorer's lineage graph" />
+ <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_dag.png" width="100%" title="dbt Explorer's lineage graph" />
   
 - Use the [advanced search](/docs/collaborate/explore-projects#search-resources) feature to locate resources in your project. Perform hard searches and keyword searches. All resource names, column names, resources descriptions, warehouse relations, and code matching your search criteria will appear in the center of the page. Apply filters to fully refine your search
 - When searching for a column name, the results show all relational nodes containing that column in their schemas. 
 
- <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_advanced_search.png" width="90%" title="dbt Explorer's advanced search feature" />
+ <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_advanced_search.png" width="100%" title="dbt Explorer's advanced search feature" />
 
-#### Hands-On
+### Hands-On
 1. On the left hand side, click on the company and ensure you're in the **Overview Project details** section → Next to **Overview** → Select **View Lineage**.
+
 2. Select a mart model and select everything downstream.
-  - Which models depend on models from another project?
-  - Click on the other project's lineage.
+   - Which models depend on models from another project?
+   - Click on the other project's lineage.
+
 3. Explore lenses and find table materializations in your current project.
-  - Which are the biggest view clusters?
+   - Which are the biggest view clusters?
+
 4. Experiment with different lenses, such as **Model layer**, **Test status**, **Resource type**, and so on.
+
 5. Drill down on a node and explore the **Column Lineage** and its evolution.
-  - Expand each column's full lineage.
+   - Expand each column's full lineage.
 
-## Mutli-Project
-Use dbt Explorer to gain a deeper understanding of *all* of you dbt Cloud projects with it's [multi-project capabilities](/docs/collaborate/explore-multiple-projects). 
-- See the number of public models, protected models, private models, and metrics in each project.
-- View cross-project lineage and navigate between individual projects’ lineage graphs
-- View cross-project column-level lineage
+## Multi-project
+Use dbt Explorer to gain a deeper understanding of *all* of you dbt Cloud projects with its [multi-project capabilities](/docs/collaborate/explore-multiple-projects). 
+- See the number of public, protected, and private models, as well as metrics for each project.
+- View cross-project lineage and navigate between individual projects’ lineage graphs.
+- Explore column-level lineage across projects.
 
-#### Hands-On
-- See which models in the platform project are public and being referenced by another project.
-- Swap between two projects’ lineages. Explore the  assets provided.
-  - What sources can we see?
-- Use multi-project column level lineage to find a column that exists in models in multiple projects.
+### Hands-On
+- Identify which models in the project are public and being referenced by another project.
+- Switch between the lineage graphs of two different projects and explore the available assets.
+  - What sources are visible?
+- Use the multi-project column-level lineage to locate a column that exists in models across multiple projects.
+
+## Project recommendations
+Project recommendations suggests project improvements and provides insight into how you can create a better-documented, better-tested, and better-built dbt project.
 
-## Project Recommendations
-The [project recommendations](/docs/collaborate/project-recommendations) page suggests project improvements and provides insight into how you can create a better-documented, better-tested, and better-built dbt project, creating more trust and less confusion.
-Learn more about what sort of suggestions it makes and why on our [docs site](/docs/collaborate/project-recommendations).
+These recommendations are designed to build trust in your project and reduce confusion.
 
- <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_project_recs.png" title="dbt Explorer's project recommendation tab" />
+To learn more about the specific suggestions and the reasons behind them, check out the [Project recommendations page](/docs/collaborate/project-recommendations).
+
+<Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_project_recs.png" width="80%" title="dbt Explorer's project recommendation tab" />
+
+### Hands-On
+- Review your project recommendations and choose one improvement to implement (such as adding a description to a primary key that’s missing one).
+
+## What's next
+
+<ConfettiTrigger>
+
+Congratulations! You've completed the dbt Explorer workshop. You now have the tools and knowledge to navigate multiple dbt projects, trace dependencies, and identify opportunities to improve performance and data quality.
+
+You've learned how to:
+- Use dbt Explorer to visualize your project’s lineage and interact with the DAG
+- Search for resources in your project and apply filters to refine your search
+- Explore lenses and find table materializations in your current project
+- Navigate multiple dbt projects using dbt Explorer
+- Trace dependencies at the model and column level
+- Review project recommendations and implement improvements
 
-#### Hands-On
-- Read through the project recommendations. Select one improvement to make and make it! (Ex: Add a description to a primary key that lacks one)
+For the next steps, you can check out the [dbt Explorer documentation](/docs/collaborate/explore-projects) and [FAQs](/docs/collaborate/dbt-explorer-faqs) to learn more about how to use dbt Explorer.
+</ConfettiTrigger>

From e7c5156f0391aebeb7c708a47ab7ea8bf891e7c3 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 26 Sep 2024 15:18:25 +0100
Subject: [PATCH 084/200] fold feedback

---
 .../docs/docs/build/metricflow-time-spine.md  | 24 +++++++------------
 1 file changed, 9 insertions(+), 15 deletions(-)

diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md
index eabb5268a0b..a76ccbbd264 100644
--- a/website/docs/docs/build/metricflow-time-spine.md
+++ b/website/docs/docs/build/metricflow-time-spine.md
@@ -46,7 +46,7 @@ models:
   - name: time_spine_hourly
     description: "my favorite time spine"
     time_spine:
-      standard_granularity_column: date_hour # column for the standard grain of your table
+      standard_granularity_column: date_hour # column for the standard grain of your table, must be date time type."
       custom_granularities:
         - name: fiscal_year
           column_name: fiscal_year_column
@@ -88,7 +88,9 @@ models:
 For an example project, refer to our [Jaffle shop](https://github.com/dbt-labs/jaffle-sl-template/blob/main/models/marts/_models.yml) example.
 
 #### Understanding time-spine and granularity
-The previous configuration demonstrates a time-spine model called `time_spine_daily`. It sets the time spine configurations under the `time_spine` key. The `standard_granularity_column` is the lowest grain of the table, in this case, it's hourly. It needs to reference a column defined under the columns key, in this case, `date_hour`. Use the `standard_granularity_column` as the join key for the time spine table when joining tables in MetricFlow. Here, the granularity of the `standard_granularity_column` is set at the column level, in this case, `hour`. Additionally, the `custom_granularities` field lets you specify non-standard time periods like `fiscal_year` or `retail_month` that your organization may use.
+The previous configuration demonstrates a time-spine model called `time_spine_daily`. It sets the time spine configurations under the `time_spine` key. The standard_granularity_column is the column that maps to one of our standard granularities [list or link to options here]. The grain of this column must be finer or equal in size to the granularity of all custom granularity columns in the same model. In this case, it's hourly. It needs to reference a column defined under the `columns` key, in this case, `date_hour`. MetricFlow will use the `standard_granularity_column` as the join key when joining the time spine table to other source table. Here, the granularity of the `standard_granularity_column` is set at the column level, in this case, `hour`. 
+
+Additionally, [the `custom_granularities` field](#custom-calendar), available in dbt v1.9 and higher) lets you specify non-standard time periods like `fiscal_year` or `retail_month` that your organization may use.
 
 #### Creating a time-spine table
 If you need to create a time spine table from scratch, you can do so by adding the following code to your dbt project. 
@@ -282,34 +284,26 @@ Custom date transformations can be complex, and organizations often have unique
 For example, if you use a custom calendar in your organization, such as a fiscal calendar, you can configure it in MetricFlow using its date and time operations. 
 
 - This is useful for calculating metrics based on a custom calendar, such as fiscal quarters or weeks. 
-- Use the `custom_granularities` key to define a non-standard time period for querying data, such as a `retail_month` or `fiscal_week`, instead of standard options like `day`, `month`, or `year`. 
+- Use the `custom_granularities` key to define a non-standard time period for querying data, such as a `retail_month` or `fiscal_week`, instead of standard options like `day`, `month`, or `year`.
+- Ensure the the `standard_granularity_column` is a date time type.
 - This feature provides more control over how time-based metrics are calculated.
 
-### Calendar model requirements
-
-To use a custom calendar model, ensure it meets the following requirements:
-
-- The model must be at a daily grain and joinable to other date columns using `date_day`.
-- Columns must align with expected data types for a given granularity (for example, `quarter` should be a date).
-- Support period-over-period calculations.
-- Support cumulative metric windows using custom granularities (for example, cumulative fiscal year-to-date bookings).
-
 ### Add custom granularities
 
-To add custom granularities, the Semantic Layer supports custom calendar configurations that allow users to query data using non-standard time periods like `fiscal_year` or `retail_month`. You can define these custom granularities by modifying your model's YAML configuration like this:
+To add custom granularities, the Semantic Layer supports custom calendar configurations that allow users to query data using non-standard time periods like `fiscal_year` or `retail_month`. You can define these custom granularities (all lower cased) by modifying your model's YAML configuration like this:
 
 <File name="models/_models.yml">
 
 ```yaml
 models:
  - name: my_time_spine
-   description: "my favorite time spine"
+   description: my favorite time spine
    time_spine:
       standard_granularity_column: date_day
       custom_granularities:
         - name: fiscal_year
           column_name: fiscal_year_column
-```          
+```
 </File>
 
 </VersionBlock>

From 3c0bd332184142eb17aa998eb94b56b375c1dfa5 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 26 Sep 2024 15:45:28 +0100
Subject: [PATCH 085/200] fix

---
 .../docs/docs/build/metricflow-time-spine.md    | 17 +++++++++++++----
 1 file changed, 13 insertions(+), 4 deletions(-)

diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md
index a76ccbbd264..2e5da2dcad8 100644
--- a/website/docs/docs/build/metricflow-time-spine.md
+++ b/website/docs/docs/build/metricflow-time-spine.md
@@ -87,17 +87,26 @@ models:
 
 For an example project, refer to our [Jaffle shop](https://github.com/dbt-labs/jaffle-sl-template/blob/main/models/marts/_models.yml) example.
 
-#### Understanding time-spine and granularity
-The previous configuration demonstrates a time-spine model called `time_spine_daily`. It sets the time spine configurations under the `time_spine` key. The standard_granularity_column is the column that maps to one of our standard granularities [list or link to options here]. The grain of this column must be finer or equal in size to the granularity of all custom granularity columns in the same model. In this case, it's hourly. It needs to reference a column defined under the `columns` key, in this case, `date_hour`. MetricFlow will use the `standard_granularity_column` as the join key when joining the time spine table to other source table. Here, the granularity of the `standard_granularity_column` is set at the column level, in this case, `hour`. 
+<Expandable alt_header="Understanding time-spine and granularity">
 
-Additionally, [the `custom_granularities` field](#custom-calendar), available in dbt v1.9 and higher) lets you specify non-standard time periods like `fiscal_year` or `retail_month` that your organization may use.
+- The previous configuration demonstrates a time-spine model called `time_spine_daily`. It sets the time spine configurations under the `time_spine` key. 
+- The `standard_granularity_column` is the column that maps to one of our [standard granularities](/docs/build/dimensions?dimension=time_gran). The grain of this column must be finer or equal in size to the granularity of all custom granularity columns in the same model. In this case, it's hourly. 
+- It needs to reference a column defined under the `columns` key, in this case, `date_hour`. 
+- MetricFlow will use the `standard_granularity_column` as the join key when joining the time spine table to other source table.
+- Here, the granularity of the `standard_granularity_column` is set at the column level, in this case, `hour`. 
+
+Additionally, [the `custom_granularities` field](#custom-calendar), (available in dbt v1.9 and higher) lets you specify non-standard time periods like `fiscal_year` or `retail_month` that your organization may use.
+
+</Expandable>
+
+<Expandable alt_header="Creating a time-spine table">
 
-#### Creating a time-spine table
 If you need to create a time spine table from scratch, you can do so by adding the following code to your dbt project. 
 The example creates a time spine at a daily grain and an hourly grain. A few things to note when creating time spine models:
 * MetricFlow will use the time spine with the largest compatible granularity for a given query to ensure the most efficient query possible. For example, if you have a time spine at a monthly grain, and query a dimension at a monthly grain, MetricFlow will use the monthly time spine. If you only have a daily time spine, MetricFlow will use the daily time spine and date_trunc to month.
 * You can add a time spine for each granularity you intend to use if query efficiency is more important to you than configuration time, or storage constraints. For most engines, the query performance difference should be minimal and transforming your time spine to a coarser grain at query time shouldn't add significant overhead to your queries.
 * We recommend having a time spine at the finest grain used in any of your dimensions to avoid unexpected errors. i.e., if you have dimensions at an hourly grain, you should have a time spine at an hourly grain.
+</Expandable>
 
 ## Example time-spine tables
 

From 9b91c15d09017cb1e464ef30d962112ae0b17fe6 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Thu, 26 Sep 2024 11:23:45 -0400
Subject: [PATCH 086/200] Update explorer-qs.md

Added section for future improvements to explorer. Did not add bullet points for features that'd be in preview by Coalesce time. Used this slack message from Roxi as a ref https://dbt-labs.slack.com/archives/CSSHB76QL/p1727296314616569?thread_ts=1727291542.371399&cid=CSSHB76QL
---
 website/docs/guides/explorer-qs.md | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index 5ba74a13066..55f342a7b51 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -128,4 +128,10 @@ You've learned how to:
 - Review project recommendations and implement improvements
 
 For the next steps, you can check out the [dbt Explorer documentation](/docs/collaborate/explore-projects) and [FAQs](/docs/collaborate/dbt-explorer-faqs) to learn more about how to use dbt Explorer.
+
+Keep an eye out for new features coming out soon, like:
+- More auto exposure integrations (Like PowerBI!)
+- Model query history for additional warehouses (like Redshift and DataBricks)
+- Improvements to data health tiles
+
 </ConfettiTrigger>

From 81ac1f082cfb8329380a17336abadfbeaec69e60 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Thu, 26 Sep 2024 11:24:28 -0400
Subject: [PATCH 087/200] Update explorer-qs.md

capitalization consistent
---
 website/docs/guides/explorer-qs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index 55f342a7b51..aaa69402fe0 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -130,7 +130,7 @@ You've learned how to:
 For the next steps, you can check out the [dbt Explorer documentation](/docs/collaborate/explore-projects) and [FAQs](/docs/collaborate/dbt-explorer-faqs) to learn more about how to use dbt Explorer.
 
 Keep an eye out for new features coming out soon, like:
-- More auto exposure integrations (Like PowerBI!)
+- More auto exposure integrations (like PowerBI)
 - Model query history for additional warehouses (like Redshift and DataBricks)
 - Improvements to data health tiles
 

From 41ff8ae5c3a1266042ea3d54d1e7ff1f1a5ad4e5 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Fri, 27 Sep 2024 09:26:12 +0100
Subject: [PATCH 088/200] Update website/docs/guides/explorer-qs.md

---
 website/docs/guides/explorer-qs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index aaa69402fe0..201d72b386b 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -35,7 +35,7 @@ Now we’ll be creating your dbt Cloud account and connecting it to a data wareh
   - Sign out if you're already logged in.
   - Enter your first name and last name.
   - Select the **Exploring a dbt Mesh implementation with dbt Explorer** option.
-  - Use the password provided by the workshop facilitator.
+  - Use the passcode provided by the workshop facilitator.
 - Agree to the terms of service and click the **Complete Registration** button.
 - Wait about 30 seconds, you’ll be in the dbt Cloud project for this course and already connected to a data warehouse.
 

From 36a177d2042ba1b444d173d5c52585b9b2aa8cf4 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Fri, 27 Sep 2024 09:26:48 +0100
Subject: [PATCH 089/200] Update website/docs/guides/explorer-qs.md

---
 website/docs/guides/explorer-qs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index 201d72b386b..7d252eed81c 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -54,7 +54,7 @@ With dbt Explorer, you can view your project's resources (such as models, tests,
   - What sources can we see?
 
 - Explore the **Tests** Tab
-  - Did we run the right test?, Which test were missing? Why?
+  - Did we run the right test? Which tests were missing? Why?
 
 - Explore **Exposures** 
   - Check Quality and where they came from

From 6e7b9ba5aecb69b9269f8f9bd885fc2bfbc1ed6d Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Fri, 27 Sep 2024 09:27:23 +0100
Subject: [PATCH 090/200] Update website/docs/guides/explorer-qs.md

---
 website/docs/guides/explorer-qs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index 7d252eed81c..c126afe9fe1 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -131,7 +131,7 @@ For the next steps, you can check out the [dbt Explorer documentation](/docs/col
 
 Keep an eye out for new features coming out soon, like:
 - More auto exposure integrations (like PowerBI)
-- Model query history for additional warehouses (like Redshift and DataBricks)
+- Model query history for additional warehouses (like Redshift and Databricks)
 - Improvements to data health tiles
 
 </ConfettiTrigger>

From f689960347e11f434f0f78bfada35aac09488daf Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Fri, 27 Sep 2024 09:28:28 +0100
Subject: [PATCH 091/200] Update website/docs/guides/explorer-qs.md

---
 website/docs/guides/explorer-qs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index c126afe9fe1..f384f26dde5 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -132,6 +132,6 @@ For the next steps, you can check out the [dbt Explorer documentation](/docs/col
 Keep an eye out for new features coming out soon, like:
 - More auto exposure integrations (like PowerBI)
 - Model query history for additional warehouses (like Redshift and Databricks)
-- Improvements to data health tiles
+- Improvements to [data health tiles](/docs/collaborate/data-tile)
 
 </ConfettiTrigger>

From 7d70135ae00e6ac4d338ae00f7562de2fe0f4b0d Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Fri, 27 Sep 2024 09:28:34 +0100
Subject: [PATCH 092/200] Update website/docs/guides/explorer-qs.md

---
 website/docs/guides/explorer-qs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index f384f26dde5..b0592556da3 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -131,7 +131,7 @@ For the next steps, you can check out the [dbt Explorer documentation](/docs/col
 
 Keep an eye out for new features coming out soon, like:
 - More auto exposure integrations (like PowerBI)
-- Model query history for additional warehouses (like Redshift and Databricks)
+- [Model query history](/docs/collaborate/model-query-history) for additional warehouses (like Redshift and Databricks)
 - Improvements to [data health tiles](/docs/collaborate/data-tile)
 
 </ConfettiTrigger>

From 543f42a31690de56ad3e07712fcf388b9eb5899a Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Fri, 27 Sep 2024 09:28:41 +0100
Subject: [PATCH 093/200] Update website/docs/guides/explorer-qs.md

---
 website/docs/guides/explorer-qs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index b0592556da3..e5e2b6d848c 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -130,7 +130,7 @@ You've learned how to:
 For the next steps, you can check out the [dbt Explorer documentation](/docs/collaborate/explore-projects) and [FAQs](/docs/collaborate/dbt-explorer-faqs) to learn more about how to use dbt Explorer.
 
 Keep an eye out for new features coming out soon, like:
-- More auto exposure integrations (like PowerBI)
+- More [auto-exposure](/docs/collaborate/auto-exposures) integrations (like PowerBI).
 - [Model query history](/docs/collaborate/model-query-history) for additional warehouses (like Redshift and Databricks)
 - Improvements to [data health tiles](/docs/collaborate/data-tile)
 

From aa9091d50f76c07a0e48441ecf9e7e87c9d6259a Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Fri, 27 Sep 2024 09:30:27 +0100
Subject: [PATCH 094/200] Update explorer-qs.md

---
 website/docs/guides/explorer-qs.md | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index e5e2b6d848c..a3d15aca51c 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -31,13 +31,13 @@ In this guide, you will learn how to:
 
 ## Setup
 Now we’ll be creating your dbt Cloud account and connecting it to a data warehouse. 
-- Go to this URL:  https://cloud.getdbt.com/coalesce-workshop-signup
+1. Go to this URL:  https://cloud.getdbt.com/coalesce-workshop-signup:
   - Sign out if you're already logged in.
-  - Enter your first name and last name.
-  - Select the **Exploring a dbt Mesh implementation with dbt Explorer** option.
-  - Use the passcode provided by the workshop facilitator.
-- Agree to the terms of service and click the **Complete Registration** button.
-- Wait about 30 seconds, you’ll be in the dbt Cloud project for this course and already connected to a data warehouse.
+2. Enter your first name and last name.
+3. Select the **Exploring a dbt Mesh implementation with dbt Explorer** option.
+4. Use the passcode provided by the workshop facilitator.
+5. Agree to the terms of service and click the **Complete Registration** button.
+6. Wait about 30 seconds, you’ll be in the dbt Cloud project for this course and already connected to a data warehouse.
 
 ## Project overview and latest run status
 

From e6933c26da23f16722bc4af2ce71466d5466ab8d Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Fri, 27 Sep 2024 17:55:50 +0100
Subject: [PATCH 095/200] Update use-dbt-assist.md

---
 website/docs/docs/cloud/use-dbt-assist.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/website/docs/docs/cloud/use-dbt-assist.md b/website/docs/docs/cloud/use-dbt-assist.md
index 096d6751525..6eede72aee8 100644
--- a/website/docs/docs/cloud/use-dbt-assist.md
+++ b/website/docs/docs/cloud/use-dbt-assist.md
@@ -1,12 +1,12 @@
 --- 
 title: "Use dbt Assist" 
 sidebar_label: "Use dbt Assist" 
-description: "Use dbt Assist to generate documentation and tests from scratch, giving you the flexibility to modify or fix generated code." 
+description: "Use dbt Assist to generate documentation, semantic models, and tests from scratch, giving you the flexibility to modify or fix generated code." 
 ---
 
 # Use dbt Assist <Lifecycle status='beta'/> 
 
-Use dbt Assist to generate documentation, semantic model, and tests from scratch, giving you the flexibility to modify or fix generated code. To access and use dbt Assist:
+Use dbt Assist to generate documentation, semantic models, and tests from scratch, giving you the flexibility to modify or fix generated code. To access and use dbt Assist:
 
 1. Navigate to the dbt Cloud IDE and select a SQL model file under the **File Explorer**.
 

From 09e3a3a2b7c49916fa6d549680b0551092e3fa1d Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Mon, 30 Sep 2024 22:20:06 +0100
Subject: [PATCH 096/200] Update metricflow-time-spine.md

---
 .../docs/docs/build/metricflow-time-spine.md  | 30 +++++++++----------
 1 file changed, 15 insertions(+), 15 deletions(-)

diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md
index 2e5da2dcad8..24f003f66d1 100644
--- a/website/docs/docs/build/metricflow-time-spine.md
+++ b/website/docs/docs/build/metricflow-time-spine.md
@@ -1,31 +1,31 @@
 ---
 title: MetricFlow time spine
-id: metricflow-time-spine
+id: metricflow-time spine
 description: "MetricFlow expects a default timespine table called metricflow_time_spine"
 sidebar_label: "MetricFlow time spine"
 tags: [Metrics, Semantic Layer]
 ---
 
-It's common in analytics engineering to have a date dimension or "time-spine" table as a base table for different types of time-based joins and aggregations. The structure of this table is typically a base column of daily or hourly dates, with additional columns for other time grains, like fiscal quarters, defined based on the base column. You can join other tables to the time spine on the base column to calculate metrics like revenue at a point in time, or to aggregate to a specific time grain.
+It's common in analytics engineering to have a date dimension or "time spine" table as a base table for different types of time-based joins and aggregations. The structure of this table is typically a base column of daily or hourly dates, with additional columns for other time grains, like fiscal quarters, defined based on the base column. You can join other tables to the time spine on the base column to calculate metrics like revenue at a point in time, or to aggregate to a specific time grain.
 
-MetricFlow requires you to define a time-spine table as a model-level configuration in the Semantic Layer for time-based joins and aggregations, such as cumulative metrics. This configuration informs dbt which model should be used for time range joins. It is especially useful for cumulative metrics or calculating time-based offsets. The time-spine model is joined to other tables when calculating certain types of metrics or dimensions. MetricFlow will join the time-spine model in the compiled SQL for the following types of metrics and dimensions:
+MetricFlow requires you to define a time spine table as a model-level configuration in the Semantic Layer for time-based joins and aggregations, such as cumulative metrics. This configuration informs dbt which model should be used for time range joins. It is especially useful for cumulative metrics or calculating time-based offsets. The time spine model is joined to other tables when calculating certain types of metrics or dimensions. MetricFlow will join the time spine model in the compiled SQL for the following types of metrics and dimensions:
 - [Cumulative metrics](/docs/build/cumulative)
 - [Metric offsets](/docs/build/derived#derived-metric-offset)
 - [Conversion metrics](/docs/build/conversion)
 - [Slowly Changing Dimensions](/docs/build/dimensions#scd-type-ii)
 - [Metrics](/docs/build/metrics-overview) with the `join_to_timespine` configuration set to true
 
-To see the generated SQL for the metric and dimension types that use time-spine joins, refer to the respective documentation or add the `compile=True` flag when querying the Semantic Layer to return the compiled SQL.
+To see the generated SQL for the metric and dimension types that use time spine joins, refer to the respective documentation or add the `compile=True` flag when querying the Semantic Layer to return the compiled SQL.
 
-## Configuring time-spine in YAML
-- You only need to configure time-spine models that the Semantic Layer should recognize.
-- At a minimum, define a time-spine table for a daily grain.
-- You can optionally define a time-spine table for a different granularity, like hourly.
+## Configuring time spine in YAML
+- You only need to configure time spine models that the Semantic Layer should recognize.
+- At a minimum, define a time spine table for a daily grain.
+- You can optionally define a time spine table for a different granularity, like hourly.
 - If your organization uses [custom calendars](#custom-calendar) (like fiscal years) or custom granularities (like `retail_month`), you can configure those as well. Learn how to [add custom calendars and granularities](#add-custom-granularities) further down this page to help support specific business needs.
 - Note that if you don’t have a date or calendar model in your project, you'll need to create one. 
 - If you're looking to specify the grain of a time dimension so that MetricFlow can transform the underlying column to the required granularity, refer to the [Time granularity documentation](/docs/build/dimensions?dimension=time_gran)
 
-If you already have a date dimension or time-spine table in your dbt project, you can point MetricFlow to this table by updating the `model` configuration to use this table in the Semantic Layer. This is a model-level configuration that tells dbt to use the model for time range joins in the Semantic Layer. 
+If you already have a date dimension or time spine table in your dbt project, you can point MetricFlow to this table by updating the `model` configuration to use this table in the Semantic Layer. This is a model-level configuration that tells dbt to use the model for time range joins in the Semantic Layer. 
 
 For example, given the following directory structure, you can create two time spine configurations, `time_spine_hourly` and `time_spine_daily`.  MetricFlow supports granularities ranging from milliseconds to years. Refer to the [Dimensions page](/docs/build/dimensions?dimension=time_gran#time) (time_granularity tab) to find the full list of supported granularities.
 
@@ -87,9 +87,9 @@ models:
 
 For an example project, refer to our [Jaffle shop](https://github.com/dbt-labs/jaffle-sl-template/blob/main/models/marts/_models.yml) example.
 
-<Expandable alt_header="Understanding time-spine and granularity">
+<Expandable alt_header="Understanding time spine and granularity">
 
-- The previous configuration demonstrates a time-spine model called `time_spine_daily`. It sets the time spine configurations under the `time_spine` key. 
+- The previous configuration demonstrates a time spine model called `time_spine_daily`. It sets the time spine configurations under the `time_spine` key. 
 - The `standard_granularity_column` is the column that maps to one of our [standard granularities](/docs/build/dimensions?dimension=time_gran). The grain of this column must be finer or equal in size to the granularity of all custom granularity columns in the same model. In this case, it's hourly. 
 - It needs to reference a column defined under the `columns` key, in this case, `date_hour`. 
 - MetricFlow will use the `standard_granularity_column` as the join key when joining the time spine table to other source table.
@@ -99,7 +99,7 @@ Additionally, [the `custom_granularities` field](#custom-calendar), (available i
 
 </Expandable>
 
-<Expandable alt_header="Creating a time-spine table">
+<Expandable alt_header="Creating a time spine table">
 
 If you need to create a time spine table from scratch, you can do so by adding the following code to your dbt project. 
 The example creates a time spine at a daily grain and an hourly grain. A few things to note when creating time spine models:
@@ -108,7 +108,7 @@ The example creates a time spine at a daily grain and an hourly grain. A few thi
 * We recommend having a time spine at the finest grain used in any of your dimensions to avoid unexpected errors. i.e., if you have dimensions at an hourly grain, you should have a time spine at an hourly grain.
 </Expandable>
 
-## Example time-spine tables
+## Example time spine tables
 
 ### Daily
 <File name="metricflow_time_spine.sql">
@@ -281,7 +281,7 @@ and date_hour < dateadd(day, 30, current_timestamp())
 
 <VersionBlock lastVersion="1.8">
 
-Being able to configure custom calendars, such as like a fiscal calendar, is available in [dbt Cloud Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless) or dbt Core [v1.9 and above](/docs/dbt-versions/core). 
+Being able to configure custom calendars, such as a fiscal calendar, is available in [dbt Cloud Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless) or dbt Core [v1.9 and above](/docs/dbt-versions/core). 
 
 To access this feature, [upgrade to Versionless](/docs/dbt-versions/versionless-cloud) or dbt Core v1.9 and above.
 </VersionBlock>
@@ -299,7 +299,7 @@ For example, if you use a custom calendar in your organization, such as a fiscal
 
 ### Add custom granularities
 
-To add custom granularities, the Semantic Layer supports custom calendar configurations that allow users to query data using non-standard time periods like `fiscal_year` or `retail_month`. You can define these custom granularities (all lower cased) by modifying your model's YAML configuration like this:
+To add custom granularities, the Semantic Layer supports custom calendar configurations that allow users to query data using non-standard time periods like `fiscal_year` or `retail_month`. You can define these custom granularities (all lowercased) by modifying your model's YAML configuration like this:
 
 <File name="models/_models.yml">
 

From 1f1e177d1b4923a83d8e16d3b52d4358c1a4944a Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Mon, 30 Sep 2024 22:23:44 +0100
Subject: [PATCH 097/200] Update metricflow-time-spine.md

---
 website/docs/docs/build/metricflow-time-spine.md | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md
index 24f003f66d1..7af600914ee 100644
--- a/website/docs/docs/build/metricflow-time-spine.md
+++ b/website/docs/docs/build/metricflow-time-spine.md
@@ -1,6 +1,6 @@
 ---
 title: MetricFlow time spine
-id: metricflow-time spine
+id: metricflow-time-spine
 description: "MetricFlow expects a default timespine table called metricflow_time_spine"
 sidebar_label: "MetricFlow time spine"
 tags: [Metrics, Semantic Layer]
@@ -315,4 +315,7 @@ models:
 ```
 </File>
 
+#### Coming soon
+Note that features like calculating offsets and period-over-period will be supported soon.
+
 </VersionBlock>

From bb3231020eba01e859b057ea37c145348153213f Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Tue, 1 Oct 2024 11:55:23 +0100
Subject: [PATCH 098/200] add new spec to spanpshot page

---
 website/docs/docs/build/snapshots.md | 633 +++++++++++++++------------
 1 file changed, 354 insertions(+), 279 deletions(-)

diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index 82b5104fcef..a7484a3c53d 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -18,215 +18,195 @@ Snapshots implement [type-2 Slowly Changing Dimensions](https://en.wikipedia.org
 
 | id | status | updated_at |
 | -- | ------ | ---------- |
-| 1 | pending | 2019-01-01 |
+| 1 | pending | 2024-01-01 |
 
 Now, imagine that the order goes from "pending" to "shipped". That same record will now look like:
 
 | id | status | updated_at |
 | -- | ------ | ---------- |
-| 1 | shipped | 2019-01-02 |
+| 1 | shipped | 2024-01-02 |
 
 This order is now in the "shipped" state, but we've lost the information about when the order was last in the "pending" state. This makes it difficult (or impossible) to analyze how long it took for an order to ship. dbt can "snapshot" these changes to help you understand how values in a row change over time. Here's an example of a snapshot table for the previous example:
 
 | id | status | updated_at | dbt_valid_from | dbt_valid_to |
 | -- | ------ | ---------- | -------------- | ------------ |
-| 1 | pending | 2019-01-01 | 2019-01-01 | 2019-01-02 |
-| 1 | shipped | 2019-01-02 | 2019-01-02 | `null` |
+| 1 | pending | 2024-01-01 | 2024-01-01 | 2024-01-02 |
+| 1 | shipped | 2024-01-02 | 2024-01-02 | `null` |
 
-In dbt, snapshots are `select` statements, defined within a snapshot block in a `.sql` file (typically in your `snapshots` directory). You'll also need to configure your snapshot to tell dbt how to detect record changes.
 
-<VersionBlock lastVersion="1.8">
+## Configuring snapshots
 
-<File name='snapshots/orders_snapshot.sql'>
+:::info Previewing or compiling snapshots in IDE not supported
 
-```sql
-{% snapshot orders_snapshot %}
-
-{{
-    config(
-      target_database='analytics',
-      target_schema='snapshots',
-      unique_key='id',
+It is not possible to "preview data" or "compile sql" for snapshots in dbt Cloud. Instead, [run the `dbt snapshot` command](#how-snapshots-work) in the IDE.
 
-      strategy='timestamp',
-      updated_at='updated_at',
-    )
-}}
+:::
 
-select * from {{ source('jaffle_shop', 'orders') }}
+<VersionBlock lastVersion="1.8" >
 
-{% endsnapshot %}
-```
+- To configure snapshots in versions 1.8 and earlier, refer to [Configure snapshots in versions 1.8 and earlier](#configure-snapshots-in-versions-18-and-earlier). These versions use an older syntax where snapshots are defined within a snapshot block in a `.sql` file, typically located in your `snapshots` directory. 
+- Note that defining multiple resources in a single file can significantly slow down parsing and compilation. For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or the [latest version of dbt Core](/docs/dbt-versions/core).
 
-</File>
 
 </VersionBlock>
 
 <VersionBlock firstVersion="1.9">
 
-<File name='snapshots/orders_snapshot.sql'>
-
-```sql
-{% snapshot orders_snapshot %}
-
-{{
-    config(
-      unique_key='id',
-      schema='snapshots', 
-      strategy='timestamp',
-      updated_at='updated_at',
-    )
-}}
-
-select * from {{ source('jaffle_shop', 'orders') }}
-
-{% endsnapshot %}
+In dbt versions 1.9 and later, snapshots are configurations defined in YAML files (typically in your snapshots directory). You'll configure your snapshot to tell dbt how to detect record changes.
+
+<File name='snapshots/orders_snapshot.yml'>
+  
+```yaml
+snapshots:
+  - name: orders_snapshot
+    relation: source('jaffle_shop', 'orders')
+    config:
+      schema: snapshots
+      database: analytics
+      unique_key: id
+      strategy: timestamp
+      updated_at: updated_at
 ```
 
 </File>
 
-</VersionBlock>
-
-:::info Preview or Compile Snapshots in IDE
-
-It is not possible to "preview data" or "compile sql" for snapshots in dbt Cloud. Instead, run the `dbt snapshot` command in the IDE by completing the following steps.
-
-:::
-
-When you run the [`dbt snapshot` command](/reference/commands/snapshot):
-* **On the first run:** dbt will create the initial snapshot table — this will be the result set of your `select` statement, with additional columns including `dbt_valid_from` and `dbt_valid_to`. All records will have a `dbt_valid_to = null`.
-* **On subsequent runs:** dbt will check which records have changed or if any new records have been created:
-  - The `dbt_valid_to` column will be updated for any existing records that have changed
-  - The updated record and any new records will be inserted into the snapshot table. These records will now have `dbt_valid_to = null`
+The following table outlines the configurations available for snapshots:
 
-Snapshots can be referenced in downstream models the same way as referencing models — by using the [ref](/reference/dbt-jinja-functions/ref) function.
-
-## Example
+| Config | Description | Required? | Example |
+| ------ | ----------- | --------- | ------- |
+| [database](/reference/resource-configs/database) | Specify a custom database for the snapshot | No | analytics |
+| [schema](/reference/resource-configs/schema) | Specify a custom schema for the snapshot | No | snapshots |
+| [alias](/reference/resource-configs/alias)   | Specify an alias for the snapshot | No | your_custom_snapshot |
+| [strategy](/reference/resource-configs/strategy) | The snapshot strategy to use. Valid values: `timestamp` or `check` | Yes | timestamp |
+| [unique_key](/reference/resource-configs/unique_key) | A <Term id="primary-key" /> column or expression for the record | Yes | id |
+| [check_cols](/reference/resource-configs/check_cols) | If using the `check` strategy, then the columns to check | Only if using the `check` strategy | ["status"] |
+| [updated_at](/reference/resource-configs/updated_at) | If using the `timestamp` strategy, the timestamp column to compare | Only if using the `timestamp` strategy | updated_at |
+| [invalidate_hard_deletes](/reference/resource-configs/invalidate_hard_deletes) | Find hard deleted records in source and set `dbt_valid_to` to current time if the record no longer exists | No | True |
 
-To add a snapshot to your project:
+- In versions prior to v1.9, the `target_schema` (required) and `target_database` (optional) configurations defined a single schema or database to build a snapshot across users and environment. This created problems when testing or developing a snapshot, as there was no clear separation between development and production environments.  In v1.9, `target_schema` became optional, allowing snapshots to be environment-aware. By default, without `target_schema` or `target_database` defined, snapshots now use the `generate_schema_name` or `generate_database_name` macros to determine where to build. Developers can still set a custom location with [`schema`](/reference/resource-configs/schema) and [`database`](/reference/resource-configs/database)  configs, consistent with other resource types.
+- A number of other configurations are also supported (for example, `tags` and `post-hook`). For the complete list, refer to [Snapshot configurations](/reference/snapshot-configs).
+- You can configure snapshots from both the `dbt_project.yml` file and a `config` block. For more information, refer to the [configuration docs](/reference/snapshot-configs).
 
-1. Create a file in your `snapshots` directory with a `.sql` file extension, e.g. `snapshots/orders.sql`
-2. Use a `snapshot` block to define the start and end of a snapshot:
 
-<File name='snapshots/orders_snapshot.sql'>
+### Add a snapshot to your project
 
-```sql
-{% snapshot orders_snapshot %}
+To add a snapshot to your project follow these steps. For users on versions 1.8 and earlier, refer to [Configure snapshots in versions 1.8 and earlier](#configure-snapshots-in-versions-18-and-earlier). 
 
-{% endsnapshot %}
-```
+1. Create a YAML file in your `snapshots` directory: `snapshots/orders_snapshot.yml` and add your configuration details. You can also configure your snapshot from your `dbt_project.yml` file ([docs](/reference/snapshot-configs)).
 
-</File>
+    <File name='snapshots/orders_snapshot.yml'>
 
-3. Write a `select` statement within the snapshot block (tips for writing a good snapshot query are below). This select statement defines the results that you want to snapshot over time. You can use `sources` and `refs` here.
+    ```yaml
+    snapshots:
+      - name: orders_snapshot
+        relation: source('jaffle_shop', 'orders')
+        config:
+          schema: snapshots
+          database: analytics
+          unique_key: id
+          strategy: timestamp
+          updated_at: updated_at
 
-<File name='snapshots/orders_snapshot.sql'>
+    ```
+    </File>
 
-```sql
-{% snapshot orders_snapshot %}
+2. Since snapshots focus on configuration, the transformation logic is minimal. Typically, you'd select all data from the source. If you need to apply transformations (like filters, deduplication), it's best practice to define an ephemeral model and reference it in your snapshot configuration.
 
-select * from {{ source('jaffle_shop', 'orders') }}
+    ```yaml
+    -- models/ephemeral_orders.sql
+    {{ config(materialized='ephemeral') }}
 
-{% endsnapshot %}
-```
+    select * from {{ source('jaffle_shop', 'orders') }}
+    ```
 
-</File>
+3. Check whether the result set of your query includes a reliable timestamp column that indicates when a record was last updated. For our example, the `updated_at` column reliably indicates record changes, so we can use the `timestamp` strategy. If your query result set does not have a reliable timestamp, you'll need to instead use the `check` strategy — more details on this below.
 
-4. Check whether the result set of your query includes a reliable timestamp column that indicates when a record was last updated. For our example, the `updated_at` column reliably indicates record changes, so we can use the `timestamp` strategy. If your query result set does not have a reliable timestamp, you'll need to instead use the `check` strategy — more details on this below.
+4. Run the `dbt snapshot` [command](/reference/commands/snapshot)  &mdash; for our example, a new table will be created at `analytics.snapshots.orders_snapshot`. The [`schema`](/reference/resource-configs/schema) config will utilize the `generate_schema_name` macro.
 
-5. Add configurations to your snapshot using a `config` block (more details below). You can also configure your snapshot from your `dbt_project.yml` file ([docs](/reference/snapshot-configs)).
+    ```
+    $ dbt snapshot
+    Running with dbt=1.9.0
 
-<VersionBlock lastVersion="1.8">
+    15:07:36 | Concurrency: 8 threads (target='dev')
+    15:07:36 |
+    15:07:36 | 1 of 1 START snapshot snapshots.orders_snapshot...... [RUN]
+    15:07:36 | 1 of 1 OK snapshot snapshots.orders_snapshot..........[SELECT 3 in 1.82s]
+    15:07:36 |
+    15:07:36 | Finished running 1 snapshots in 0.68s.
 
-<File name='snapshots/orders_snapshot.sql'>
+    Completed successfully
 
-```sql
-{% snapshot orders_snapshot %}
+    Done. PASS=2 ERROR=0 SKIP=0 TOTAL=1
+    ```
 
-{{
-    config(
-      target_database='analytics',
-      target_schema='snapshots',
-      unique_key='id',
+5. Inspect the results by selecting from the table dbt created (`analytics.snapshots.orders_snapshot`). After the first run, you should see the results of your query, plus the [snapshot meta fields](#snapshot-meta-fields) as described later on.
 
-      strategy='timestamp',
-      updated_at='updated_at',
-    )
-}}
+6. Run the `dbt snapshot` command again and inspect the results. If any records have been updated, the snapshot should reflect this.
 
-select * from {{ source('jaffle_shop', 'orders') }}
+7. Select from the `snapshot` in downstream models using the `ref` function.
 
-{% endsnapshot %}
-```
+    <File name='models/changed_orders.sql'>
 
-</File>
+    ```sql
+    select * from {{ ref('orders_snapshot') }}
+    ```
+    </File>
 
-6. Run the `dbt snapshot` [command](/reference/commands/snapshot) — for our example a new table will be created at `analytics.snapshots.orders_snapshot`. You can change the `target_database` configuration, the `target_schema` configuration and the name of the snapshot (as defined in `{% snapshot .. %}`) will change how dbt names this table.
+8.  Snapshots are only useful if you run them frequently &mdash; schedule the `dbt snapshot` command to run regularly.
 
 </VersionBlock>
 
-<VersionBlock firstVersion="1.9">
-
-<File name='snapshots/orders_snapshot.sql'>
+### Configuration best practices
 
-```sql
-{% snapshot orders_snapshot %}
+<Expandable alt_header="Use thetimestamp strategy where possible">
 
-{{
-    config(
-      schema='snapshots',
-      unique_key='id',
-      strategy='timestamp',
-      updated_at='updated_at',
-    )
-}}
+This strategy handles column additions and deletions better than the `check` strategy.
 
-select * from {{ source('jaffle_shop', 'orders') }}
+</Expandable>
 
-{% endsnapshot %}
-```
+<Expandable alt_header="Ensure your unique key is really unique">
 
-</File>
+The unique key is used by dbt to match rows up, so it's extremely important to make sure this key is actually unique! If you're snapshotting a source, I'd recommend adding a uniqueness test to your source ([example](https://github.com/dbt-labs/jaffle_shop/blob/8e7c853c858018180bef1756ec93e193d9958c5b/models/staging/schema.yml#L26)).
+</Expandable>
 
-6. Run the `dbt snapshot` [command](/reference/commands/snapshot)  &mdash; for our example, a new table will be created at `analytics.snapshots.orders_snapshot`. The [`schema`](/reference/resource-configs/schema) config will utilize the `generate_schema_name` macro.
+<VersionBlock lastVersion="1.8">
 
-</VersionBlock>
+<Expandable alt_header="Use a target_schema that is separate to your analytics schema">
 
-```
-$ dbt snapshot
-Running with dbt=1.8.0
+Snapshots cannot be rebuilt. As such, it's a good idea to put snapshots in a separate schema so end users know they are special. From there, you may want to set different privileges on your snapshots compared to your models, and even run them as a different user (or role, depending on your warehouse) to make it very difficult to drop a snapshot unless you really want to.
 
-15:07:36 | Concurrency: 8 threads (target='dev')
-15:07:36 |
-15:07:36 | 1 of 1 START snapshot snapshots.orders_snapshot...... [RUN]
-15:07:36 | 1 of 1 OK snapshot snapshots.orders_snapshot..........[SELECT 3 in 1.82s]
-15:07:36 |
-15:07:36 | Finished running 1 snapshots in 0.68s.
+</Expandable>
+</VersionBlock>
 
-Completed successfully
+<VersionBlock firstVersion="1.9">
 
-Done. PASS=2 ERROR=0 SKIP=0 TOTAL=1
-```
+<Expandable alt_header="Use a schema that is separate to your models' schema">
 
-7. Inspect the results by selecting from the table dbt created. After the first run, you should see the results of your query, plus the [snapshot meta fields](#snapshot-meta-fields) as described below.
+Snapshots can't be rebuilt. Because of this, it's a good idea to put snapshots in a separate schema so end users know they're special. From there, you may want to set different privileges on your snapshots compared to your models, and even run them as a different user (or role, depending on your warehouse) to make it very difficult to drop a snapshot unless you really want to.
 
-8. Run the `snapshot` command again, and inspect the results. If any records have been updated, the snapshot should reflect this.
+</Expandable>
 
-9. Select from the `snapshot` in downstream models using the `ref` function.
+<Expandable alt_header="Use ephemeral model to clean or tranform data before snapshotting">
 
-<File name='models/changed_orders.sql'>
+ If you need to clean or transform your data before snapshotting, create an ephemeral model (or a staging model) that applies the necessary transformations. Then, reference this model in your snapshot configuration. This approach keeps your snapshot definitions clean and allows you to test and run transformations separately.
 
-```sql
-select * from {{ ref('orders_snapshot') }}
-```
+</Expandable>
+</VersionBlock>
 
-</File>
+### How snapshots work
 
-10. Schedule the `snapshot` command to run regularly — snapshots are only useful if you run them frequently.
+When you run the [`dbt snapshot` command](/reference/commands/snapshot):
+* **On the first run:** dbt will create the initial snapshot table — this will be the result set of your `select` statement, with additional columns including `dbt_valid_from` and `dbt_valid_to`. All records will have a `dbt_valid_to = null`.
+* **On subsequent runs:** dbt will check which records have changed or if any new records have been created:
+  - The `dbt_valid_to` column will be updated for any existing records that have changed
+  - The updated record and any new records will be inserted into the snapshot table. These records will now have `dbt_valid_to = null`
 
+Snapshots can be referenced in downstream models the same way as referencing models — by using the [ref](/reference/dbt-jinja-functions/ref) function.
 
 ## Detecting row changes
-Snapshot "strategies" define how dbt knows if a row has changed. There are two strategies built-in to dbt — `timestamp` and `check`.
+Snapshot "strategies" define how dbt knows if a row has changed. There are two strategies built-in to dbt:
+- [Timestamp](#timestamp-strategy-recommended) &mdash; Uses an `updated_at` column to determine if a row has changed.
+- [Check](#check-strategy) &mdash; Compares a list of columns between their current and historical values to determine if a row has changed.
 
 ### Timestamp strategy (recommended)
 The `timestamp` strategy uses an `updated_at` field to determine if a row has changed. If the configured `updated_at` column for a row is more recent than the last time the snapshot ran, then dbt will invalidate the old record and record the new one. If the timestamps are unchanged, then dbt will not take any action.
@@ -266,27 +246,19 @@ The `timestamp` strategy requires the following configurations:
 
 <VersionBlock firstVersion="1.9">
 
-<File name='snapshots/orders_snapshot_timestamp.sql'>
-
-```sql
-{% snapshot orders_snapshot_timestamp %}
-
-    {{
-        config(
-          schema='snapshots',
-          strategy='timestamp',
-          unique_key='id',
-          updated_at='updated_at',
-        )
-    }}
-
-    select * from {{ source('jaffle_shop', 'orders') }}
-
-{% endsnapshot %}
+<File name='snapshots/orders_snapshot.yml'>
+
+```yaml
+snapshots:
+  - name: orders_snapshot_timestamp
+    relation: source('jaffle_shop', 'orders')
+    config:
+      schema: snapshots
+      unique_key: id
+      strategy: timestamp
+      updated_at: updated_at
 ```
-
 </File>
-
 </VersionBlock>
 
 ### Check strategy
@@ -298,15 +270,12 @@ The `check` strategy requires the following configurations:
 | ------ | ----------- | ------- |
 | check_cols | A list of columns to check for changes, or `all` to check all columns | `["name", "email"]` |
 
-
-
 :::caution check_cols = 'all'
 
 The `check` snapshot strategy can be configured to track changes to _all_ columns by supplying `check_cols = 'all'`. It is better to explicitly enumerate the columns that you want to check. Consider using a <Term id="surrogate-key" /> to condense many columns into a single column.
 
 :::
 
-
 **Example Usage**
 
 <VersionBlock lastVersion="1.8">
@@ -336,23 +305,19 @@ The `check` snapshot strategy can be configured to track changes to _all_ column
 
 <VersionBlock firstVersion="1.9">
 
-<File name='snapshots/orders_snapshot_check.sql'>
-
-```sql
-{% snapshot orders_snapshot_check %}
-
-    {{
-        config(
-          schema='snapshots',
-          strategy='check',
-          unique_key='id',
-          check_cols=['status', 'is_cancelled'],
-        )
-    }}
-
-    select * from {{ source('jaffle_shop', 'orders') }}
-
-{% endsnapshot %}
+<File name='snapshots/orders_snapshot.yml'>
+
+```yaml
+snapshots:
+  - name: orders_snapshot_check
+    relation: source('jaffle_shop', 'orders')
+    config:
+      schema: snapshots
+      unique_key: id
+      strategy: check
+      check_cols:
+        - status
+        - is_cancelled
 ```
 
 </File>
@@ -397,112 +362,42 @@ For this configuration to work with the `timestamp` strategy, the configured `up
 
 <VersionBlock firstVersion="1.9">
 
-<File name='snapshots/orders_snapshot_hard_delete.sql'>
-
-```sql
-{% snapshot orders_snapshot_hard_delete %}
-
-    {{
-        config(
-          schema='snapshots',
-          strategy='timestamp',
-          unique_key='id',
-          updated_at='updated_at',
-          invalidate_hard_deletes=True,
-        )
-    }}
-
-    select * from {{ source('jaffle_shop', 'orders') }}
-
-{% endsnapshot %}
+<File name='snapshots/orders_snapshot.yml'>
+
+```yaml
+snapshots:
+  - name: orders_snapshot_hard_delete
+    relation: source('jaffle_shop', 'orders')
+    config:
+      schema: snapshots
+      unique_key: id
+      strategy: timestamp
+      updated_at: updated_at
+      invalidate_hard_deletes: true
 ```
 
 </File>
 
 </VersionBlock>
 
-## Configuring snapshots
-### Snapshot configurations
-There are a number of snapshot-specific configurations:
-
-<VersionBlock lastVersion="1.8">
-
-| Config | Description | Required? | Example |
-| ------ | ----------- | --------- | ------- |
-| [target_database](/reference/resource-configs/target_database) | The database that dbt should render the snapshot table into | No | analytics |
-| [target_schema](/reference/resource-configs/target_schema) | The schema that dbt should render the snapshot table into | Yes | snapshots |
-| [strategy](/reference/resource-configs/strategy) | The snapshot strategy to use. One of `timestamp` or `check` | Yes | timestamp |
-| [unique_key](/reference/resource-configs/unique_key) | A <Term id="primary-key" /> column or expression for the record | Yes | id |
-| [check_cols](/reference/resource-configs/check_cols) | If using the `check` strategy, then the columns to check | Only if using the `check` strategy | ["status"] |
-| [updated_at](/reference/resource-configs/updated_at) | If using the `timestamp` strategy, the timestamp column to compare | Only if using the `timestamp` strategy | updated_at |
-| [invalidate_hard_deletes](/reference/resource-configs/invalidate_hard_deletes) | Find hard deleted records in source, and set `dbt_valid_to` current time if no longer exists | No | True |
-
-A number of other configurations are also supported (e.g. `tags` and `post-hook`), check out the full list [here](/reference/snapshot-configs).
-
-Snapshots can be configured from both your `dbt_project.yml` file and a `config` block, check out the [configuration docs](/reference/snapshot-configs) for more information.
-
-Note: BigQuery users can use `target_project` and `target_dataset` as aliases for `target_database` and `target_schema`, respectively.
-
-</VersionBlock>
-
-<VersionBlock firstVersion="1.9">
-
-| Config | Description | Required? | Example |
-| ------ | ----------- | --------- | ------- |
-| [database](/reference/resource-configs/database) | Specify a custom database for the snapshot | No | analytics |
-| [schema](/reference/resource-configs/schema) | Specify a custom schema for the snapshot | No | snapshots |
-| [alias](/reference/resource-configs/alias)   | Specify an alias for the snapshot | No | your_custom_snapshot |
-| [strategy](/reference/resource-configs/strategy) | The snapshot strategy to use. Valid values: `timestamp` or `check` | Yes | timestamp |
-| [unique_key](/reference/resource-configs/unique_key) | A <Term id="primary-key" /> column or expression for the record | Yes | id |
-| [check_cols](/reference/resource-configs/check_cols) | If using the `check` strategy, then the columns to check | Only if using the `check` strategy | ["status"] |
-| [updated_at](/reference/resource-configs/updated_at) | If using the `timestamp` strategy, the timestamp column to compare | Only if using the `timestamp` strategy | updated_at |
-| [invalidate_hard_deletes](/reference/resource-configs/invalidate_hard_deletes) | Find hard deleted records in source and set `dbt_valid_to` to current time if the record no longer exists | No | True |
-
-In versions prior to v1.9, the `target_schema` (required) and `target_database` (optional) configurations defined a single schema or database to build a snapshot into across users and environments. This created problems when testing or developing a snapshot, as there was no clear separation between development and production environments. In v1.9, support was added for environment-aware snapshots by making `target_schema` optional. Snapshots, by default with no `target_schema` or `target_database` config defined, now resolve the schema or database to build the snapshot into using the `generate_schema_name` or `generate_database_name` macros. Developers can optionally define a custom location for snapshots to build to with the [`schema`](/reference/resource-configs/schema) and [`database`](/reference/resource-configs/database) configs, as is consistent with other resource types. 
-
-A number of other configurations are also supported (for example, `tags` and `post-hook`). For the complete list, refer to [Snapshot configurations](/reference/snapshot-configs).
-
-You can configure snapshots from both the `dbt_project.yml` file and a `config` block. For more information, refer to the [configuration docs](/reference/snapshot-configs).
-
-</VersionBlock>
-
-### Configuration best practices
-#### Use the `timestamp` strategy where possible
-This strategy handles column additions and deletions better than the `check` strategy.
-
-#### Ensure your unique key is really unique
-The unique key is used by dbt to match rows up, so it's extremely important to make sure this key is actually unique! If you're snapshotting a source, I'd recommend adding a uniqueness test to your source ([example](https://github.com/dbt-labs/jaffle_shop/blob/8e7c853c858018180bef1756ec93e193d9958c5b/models/staging/schema.yml#L26)).
-
-<VersionBlock lastVersion="1.8">
-
-#### Use a `target_schema` that is separate to your analytics schema
-Snapshots cannot be rebuilt. As such, it's a good idea to put snapshots in a separate schema so end users know they are special. From there, you may want to set different privileges on your snapshots compared to your models, and even run them as a different user (or role, depending on your warehouse) to make it very difficult to drop a snapshot unless you really want to.
-
-</VersionBlock>
-
-<VersionBlock firstVersion="1.9">
-
-#### Use a schema that is separate to your models' schema
-Snapshots can't be rebuilt. Because of this, it's a good idea to put snapshots in a separate schema so end users know they're special. From there, you may want to set different privileges on your snapshots compared to your models, and even run them as a different user (or role, depending on your warehouse) to make it very difficult to drop a snapshot unless you really want to.
-
-</VersionBlock>
-
 ## Snapshot query best practices
 
-#### Snapshot source data.
-Your models should then select from these snapshots, treating them like regular data sources. As much as possible, snapshot your source data in its raw form and use downstream models to clean up the data
+This section outlines some best practices for writing snapshot queries:
+
+- #### Snapshot source data
+  Your models should then select from these snapshots, treating them like regular data sources. As much as possible, snapshot your source data in its raw form and use downstream models to clean up the data
 
-#### Use the `source` function in your query.
-This helps when understanding <Term id="data-lineage">data lineage</Term> in your project.
+- #### Use the `source` function in your query
+  This helps when understanding <Term id="data-lineage">data lineage</Term> in your project.
 
-#### Include as many columns as possible.
-In fact, go for `select *` if performance permits! Even if a column doesn't feel useful at the moment, it might be better to snapshot it in case it becomes useful – after all, you won't be able to recreate the column later.
+- #### Include as many columns as possible
+  In fact, go for `select *` if performance permits! Even if a column doesn't feel useful at the moment, it might be better to snapshot it in case it becomes useful – after all, you won't be able to recreate the column later.
 
-#### Avoid joins in your snapshot query.
-Joins can make it difficult to build a reliable `updated_at` timestamp. Instead, snapshot the two tables separately, and join them in downstream models.
+- #### Avoid joins in your snapshot query
+  Joins can make it difficult to build a reliable `updated_at` timestamp. Instead, snapshot the two tables separately, and join them in downstream models.
 
-#### Limit the amount of transformation in your query.
-If you apply business logic in a snapshot query, and this logic changes in the future, it can be impossible (or, at least, very difficult) to apply the change in logic to your snapshots.
+- #### Limit the amount of transformation in your query
+  If you apply business logic in a snapshot query, and this logic changes in the future, it can be impossible (or, at least, very difficult) to apply the change in logic to your snapshots.
 
 Basically – keep your query as simple as possible! Some reasonable exceptions to these recommendations include:
 * Selecting specific columns if the table is wide.
@@ -526,30 +421,30 @@ For the `timestamp` strategy, the configured `updated_at` column is used to popu
 <details>
 <summary>  Details for the timestamp strategy </summary>
 
-Snapshot query results at `2019-01-01 11:00`
+Snapshot query results at `2024-01-01 11:00`
 
 | id | status  | updated_at       |
 | -- | ------- | ---------------- |
-| 1        | pending | 2019-01-01 10:47 |
+| 1        | pending | 2024-01-01 10:47 |
 
 Snapshot results (note that `11:00` is not used anywhere):
 
 | id | status  | updated_at       | dbt_valid_from   | dbt_valid_to     | dbt_updated_at   |
 | -- | ------- | ---------------- | ---------------- | ---------------- | ---------------- |
-| 1        | pending | 2019-01-01 10:47 | 2019-01-01 10:47 |                  | 2019-01-01 10:47 |
+| 1        | pending | 2024-01-01 10:47 | 2024-01-01 10:47 |                  | 2024-01-01 10:47 |
 
-Query results at `2019-01-01 11:30`:
+Query results at `2024-01-01 11:30`:
 
 | id | status  | updated_at       |
 | -- | ------- | ---------------- |
-| 1  | shipped | 2019-01-01 11:05 |
+| 1  | shipped | 2024-01-01 11:05 |
 
 Snapshot results (note that `11:30` is not used anywhere):
 
 | id | status  | updated_at       | dbt_valid_from   | dbt_valid_to     | dbt_updated_at   |
 | -- | ------- | ---------------- | ---------------- | ---------------- | ---------------- |
-| 1  | pending | 2019-01-01 10:47 | 2019-01-01 10:47 | 2019-01-01 11:05 | 2019-01-01 10:47 |
-| 1  | shipped | 2019-01-01 11:05 | 2019-01-01 11:05 |                  | 2019-01-01 11:05 |
+| 1  | pending | 2024-01-01 10:47 | 2024-01-01 10:47 | 2024-01-01 11:05 | 2024-01-01 10:47 |
+| 1  | shipped | 2024-01-01 11:05 | 2024-01-01 11:05 |                  | 2024-01-01 11:05 |
 
 </details>
 
@@ -560,7 +455,7 @@ For the `check` strategy, the current timestamp is used to populate each column.
 <details>
 <summary>  Details for the check strategy </summary>
 
-Snapshot query results at `2019-01-01 11:00`
+Snapshot query results at `2024-01-01 11:00`
 
 | id | status  |
 | -- | ------- |
@@ -570,9 +465,9 @@ Snapshot results:
 
 | id | status  | dbt_valid_from   | dbt_valid_to     | dbt_updated_at   |
 | -- | ------- | ---------------- | ---------------- | ---------------- |
-| 1  | pending | 2019-01-01 11:00 |                  | 2019-01-01 11:00 |
+| 1  | pending | 2024-01-01 11:00 |                  | 2024-01-01 11:00 |
 
-Query results at `2019-01-01 11:30`:
+Query results at `2024-01-01 11:30`:
 
 | id | status  |
 | -- | ------- |
@@ -582,11 +477,191 @@ Snapshot results:
 
 | id | status  | dbt_valid_from   | dbt_valid_to     | dbt_updated_at   |
 | --- | ------- | ---------------- | ---------------- | ---------------- |
-| 1   | pending | 2019-01-01 11:00 | 2019-01-01 11:30 | 2019-01-01 11:00 |
-| 1   | shipped | 2019-01-01 11:30 |                  | 2019-01-01 11:30 |
+| 1   | pending | 2024-01-01 11:00 | 2024-01-01 11:30 | 2024-01-01 11:00 |
+| 1   | shipped | 2024-01-01 11:30 |                  | 2024-01-01 11:30 |
 
 </details>
 
+## Configure snapshots in versions 1.8 and earlier
+
+<VersionBlock firstVersion="1.9">
+
+This section is for users on dbt versions 1.8 and earlier. To configure snapshots in versions 1.9 and later, refer to [Configuring snapshots](#configuring-snapshots). The latest versions use an updated snapshot configuration syntax that optimizes performance.
+
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
+- In dbt versions 1.8 and earlier, snapshots are `select` statements, defined within a snapshot block in a `.sql` file (typically in your `snapshots` directory). You'll also need to configure your snapshot to tell dbt how to detect record changes. 
+- The earlier dbt versions use an older syntax that allows for defining multiple resources in a single file. This syntax can significantly slow down parsing and compilation.
+- For faster and more efficient management, consider[ upgrading to Versionless](/docs/dbt-versions/versionless-cloud) or the [latest version of dbt Core](/docs/dbt-versions/core), which introduces an updated snapshot configuration syntax that optimizes performance.
+
+The following example shows how to configure a snapshot:
+
+<File name='snapshots/orders_snapshot.sql'>
+
+```sql
+{% snapshot orders_snapshot %}
+
+{{
+    config(
+      target_database='analytics',
+      target_schema='snapshots',
+      unique_key='id',
+
+      strategy='timestamp',
+      updated_at='updated_at',
+    )
+}}
+
+select * from {{ source('jaffle_shop', 'orders') }}
+
+{% endsnapshot %}
+```
+
+</File>
+
+The following table outlines the configurations available for snapshots in versions 1.8 and earlier:
+
+| Config | Description | Required? | Example |
+| ------ | ----------- | --------- | ------- |
+| [target_database](/reference/resource-configs/target_database) | The database that dbt should render the snapshot table into | No | analytics |
+| [target_schema](/reference/resource-configs/target_schema) | The schema that dbt should render the snapshot table into | Yes | snapshots |
+| [strategy](/reference/resource-configs/strategy) | The snapshot strategy to use. One of `timestamp` or `check` | Yes | timestamp |
+| [unique_key](/reference/resource-configs/unique_key) | A <Term id="primary-key" /> column or expression for the record | Yes | id |
+| [check_cols](/reference/resource-configs/check_cols) | If using the `check` strategy, then the columns to check | Only if using the `check` strategy | ["status"] |
+| [updated_at](/reference/resource-configs/updated_at) | If using the `timestamp` strategy, the timestamp column to compare | Only if using the `timestamp` strategy | updated_at |
+| [invalidate_hard_deletes](/reference/resource-configs/invalidate_hard_deletes) | Find hard deleted records in source, and set `dbt_valid_to` current time if no longer exists | No | True |
+
+- A number of other configurations are also supported (e.g. `tags` and `post-hook`), check out the full list [here](/reference/snapshot-configs).
+- Snapshots can be configured from both your `dbt_project.yml` file and a `config` block, check out the [configuration docs](/reference/snapshot-configs) for more information.
+- Note: BigQuery users can use `target_project` and `target_dataset` as aliases for `target_database` and `target_schema`, respectively.
+
+### Configuration example
+
+To add a snapshot to your project:
+
+1. Create a file in your `snapshots` directory with a `.sql` file extension, e.g. `snapshots/orders.sql`
+2. Use a `snapshot` block to define the start and end of a snapshot:
+
+<File name='snapshots/orders_snapshot.sql'>
+
+```sql
+{% snapshot orders_snapshot %}
+
+{% endsnapshot %}
+```
+
+</File>
+
+3. Write a `select` statement within the snapshot block (tips for writing a good snapshot query are below). This select statement defines the results that you want to snapshot over time. You can use `sources` and `refs` here.
+
+<File name='snapshots/orders_snapshot.sql'>
+
+```sql
+{% snapshot orders_snapshot %}
+
+select * from {{ source('jaffle_shop', 'orders') }}
+
+{% endsnapshot %}
+```
+
+</File>
+
+4. Check whether the result set of your query includes a reliable timestamp column that indicates when a record was last updated. For our example, the `updated_at` column reliably indicates record changes, so we can use the `timestamp` strategy. If your query result set does not have a reliable timestamp, you'll need to instead use the `check` strategy — more details on this below.
+
+5. Add configurations to your snapshot using a `config` block (more details below). You can also configure your snapshot from your `dbt_project.yml` file ([docs](/reference/snapshot-configs)).
+
+<VersionBlock lastVersion="1.8">
+
+<File name='snapshots/orders_snapshot.sql'>
+
+```sql
+{% snapshot orders_snapshot %}
+
+{{
+    config(
+      target_database='analytics',
+      target_schema='snapshots',
+      unique_key='id',
+
+      strategy='timestamp',
+      updated_at='updated_at',
+    )
+}}
+
+select * from {{ source('jaffle_shop', 'orders') }}
+
+{% endsnapshot %}
+```
+
+</File>
+
+6. Run the `dbt snapshot` [command](/reference/commands/snapshot) — for our example a new table will be created at `analytics.snapshots.orders_snapshot`. You can change the `target_database` configuration, the `target_schema` configuration and the name of the snapshot (as defined in `{% snapshot .. %}`) will change how dbt names this table.
+
+</VersionBlock>
+
+<VersionBlock firstVersion="1.9">
+
+<File name='snapshots/orders_snapshot.sql'>
+
+```sql
+{% snapshot orders_snapshot %}
+
+{{
+    config(
+      schema='snapshots',
+      unique_key='id',
+      strategy='timestamp',
+      updated_at='updated_at',
+    )
+}}
+
+select * from {{ source('jaffle_shop', 'orders') }}
+
+{% endsnapshot %}
+```
+
+</File>
+
+6. Run the `dbt snapshot` [command](/reference/commands/snapshot)  &mdash; for our example, a new table will be created at `analytics.snapshots.orders_snapshot`. The [`schema`](/reference/resource-configs/schema) config will utilize the `generate_schema_name` macro.
+
+</VersionBlock>
+
+```
+$ dbt snapshot
+Running with dbt=1.8.0
+
+15:07:36 | Concurrency: 8 threads (target='dev')
+15:07:36 |
+15:07:36 | 1 of 1 START snapshot snapshots.orders_snapshot...... [RUN]
+15:07:36 | 1 of 1 OK snapshot snapshots.orders_snapshot..........[SELECT 3 in 1.82s]
+15:07:36 |
+15:07:36 | Finished running 1 snapshots in 0.68s.
+
+Completed successfully
+
+Done. PASS=2 ERROR=0 SKIP=0 TOTAL=1
+```
+
+7. Inspect the results by selecting from the table dbt created. After the first run, you should see the results of your query, plus the [snapshot meta fields](#snapshot-meta-fields) as described earlier.
+
+8. Run the `dbt snapshot` command again, and inspect the results. If any records have been updated, the snapshot should reflect this.
+
+9. Select from the `snapshot` in downstream models using the `ref` function.
+
+<File name='models/changed_orders.sql'>
+
+```sql
+select * from {{ ref('orders_snapshot') }}
+```
+
+</File>
+
+10. Snapshots are only useful if you run them frequently &mdash; schedule the `snapshot` command to run regularly.
+
+
+</VersionBlock>
 
 ## FAQs
 <FAQ path="Runs/run-one-snapshot" />

From 49e0c87ab2357dc23cc6087e6da01fb685b01422 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Tue, 1 Oct 2024 11:57:22 +0100
Subject: [PATCH 099/200] add space

---
 .../faqs/Snapshots/snapshot-target-is-not-a-snapshot-table.md    | 1 +
 1 file changed, 1 insertion(+)

diff --git a/website/docs/faqs/Snapshots/snapshot-target-is-not-a-snapshot-table.md b/website/docs/faqs/Snapshots/snapshot-target-is-not-a-snapshot-table.md
index 5ce8f380008..0175588bf6f 100644
--- a/website/docs/faqs/Snapshots/snapshot-target-is-not-a-snapshot-table.md
+++ b/website/docs/faqs/Snapshots/snapshot-target-is-not-a-snapshot-table.md
@@ -27,3 +27,4 @@ A snapshot must have a materialized value of 'snapshot'
 This tells you to change your `materialized` config to `snapshot`. But when you make that change, you might encounter an error message saying that certain fields like `dbt_scd_id` are missing. This error happens because, previously, when dbt treated snapshots as tables, it didn't include the necessary [snapshot meta-fields](/docs/build/snapshots#snapshot-meta-fields) in your target table. Since those meta-fields don't exist, dbt correctly identifies that you're trying to create a snapshot in a table that isn't actually a snapshot.
 
 When this happens, you have to start from scratch &mdash; re-snapshotting your source data as if it was the first time by dropping your "snapshot" which isn't a real snapshot table. Then dbt snapshot will create a new snapshot and insert the snapshot meta-fields as expected.
+

From 3e52968e0847b0c8d2a980a114b6d111419eaacb Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Tue, 1 Oct 2024 12:09:43 +0100
Subject: [PATCH 100/200] add snapshot rn

---
 website/docs/docs/dbt-versions/release-notes.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index 7c2614b2c10..cef9020b579 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -20,6 +20,9 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 
 ## September 2024
 
+- **New**: In dbt Cloud Versionless, [Snapshots](/docs/build/snapshots) have been updated to use YAML configuration files instead of SQL snapshot blocks. This new feature simplifies snapshot management and improves performance, and will soon be released in dbt Core 1.9.
+  - Who does this affect? New user on Versionless can define snapshots using the new YAML specification. Users upgrading to Versionless who use snapshots need to migrate their snapshot definitions to YAML. 
+  - Users on dbt 1.8 and earlier: No action needed; existing snapshots will continue to work as before. However, we recommend upgrading to Versionless to take advantage of the new snapshot features.
 - **Enhancement**: You can now run [Semantic Layer commands](/docs/build/metricflow-commands) commands in the [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud). The supported commands are `dbt sl list`, `dbt sl list metrics`, `dbt sl list dimension-values`, `dbt sl list saved-queries`, `dbt sl query`, `dbt sl list dimensions`, `dbt sl list entities`, and `dbt sl validate`. 
 - **New**: Microsoft Excel, a dbt Semantic Layer integration, is now generally available. The integration allows you to connect to Microsoft Excel to query metrics and collaborate with your team. Available for [Excel Desktop](https://pages.store.office.com/addinsinstallpage.aspx?assetid=WA200007100&rs=en-US&correlationId=4132ecd1-425d-982d-efb4-de94ebc83f26) or [Excel Online](https://pages.store.office.com/addinsinstallpage.aspx?assetid=WA200007100&rs=en-US&correlationid=4132ecd1-425d-982d-efb4-de94ebc83f26&isWac=True). For more information, refer to [Microsoft Excel](/docs/cloud-integrations/semantic-layer/excel).
 - **New**: [Data health tile](/docs/collaborate/data-tile) is now generally available in dbt Explorer. Data health tiles provide a quick at-a-glance view of your data quality, highlighting potential issues in your data. You can embed these tiles in your dashboards to quickly identify and address data quality issues in your dbt project.

From c5a1522422368c5e1289f7050491da4e1e401adf Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 1 Oct 2024 12:32:18 +0100
Subject: [PATCH 101/200] Update website/docs/docs/build/snapshots.md

---
 website/docs/docs/build/snapshots.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index a7484a3c53d..3145dfcce62 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -45,7 +45,7 @@ It is not possible to "preview data" or "compile sql" for snapshots in dbt Cloud
 <VersionBlock lastVersion="1.8" >
 
 - To configure snapshots in versions 1.8 and earlier, refer to [Configure snapshots in versions 1.8 and earlier](#configure-snapshots-in-versions-18-and-earlier). These versions use an older syntax where snapshots are defined within a snapshot block in a `.sql` file, typically located in your `snapshots` directory. 
-- Note that defining multiple resources in a single file can significantly slow down parsing and compilation. For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or the [latest version of dbt Core](/docs/dbt-versions/core).
+- Note that defining multiple resources in a single file can significantly slow down parsing and compilation. For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
 
 
 </VersionBlock>

From b70d801a553bf122a4387ab4c9a157b238074fcf Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Tue, 1 Oct 2024 12:42:59 +0100
Subject: [PATCH 102/200] update configs

---
 website/docs/reference/snapshot-configs.md | 236 ++++++++++++++-------
 1 file changed, 155 insertions(+), 81 deletions(-)

diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index 5afe429cfb4..2c3e6b665b1 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -20,7 +20,6 @@ Parts of a snapshot:
 -->
 
 ## Available configurations
-### Snapshot-specific configurations
 
 <ConfigResource meta={frontMatter.meta} />
 
@@ -80,8 +79,36 @@ snapshots:
 
 <TabItem value="property-yaml">
 
+<VersionBlock lastVersion="1.8">
+
 **Note:** Required snapshot properties _will not_ work when defined in `config` YAML blocks. We recommend that you define these in `dbt_project.yml` or a `config()` block within the snapshot `.sql` file.
 
+For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or the [latest version of dbt Core](/docs/dbt-versions/core).
+
+</VersionBlock>
+
+<VersionBlock firstVersion="1.9">
+
+Refer to [configuring snapshots](/docs/build/snapshots#configuring-snapshots) for the available configurations.
+
+<File name="snapshots/my_snapshots.yml">
+  
+```yaml
+snapshots:
+  - name: snapshot_name
+    relation: source('my_source', 'my_table')
+    config:
+      schema: string
+      database: string
+      unique_key: column_name_or_expression
+      strategy: timestamp | check
+      updated_at: column_name  # Required if strategy is 'timestamp'
+      check_cols: [column_name] | 'all'  # Required if strategy is 'check'
+      invalidate_hard_deletes: true | false
+```
+</File>
+</VersionBlock>
+
 </TabItem>
 
 <TabItem value="config">
@@ -160,6 +187,7 @@ snapshots:
 
 <TabItem value="property-yaml">
 
+<VersionBlock lastVersion="1.8">
 <File name='snapshots/properties.yml'>
 
 ```yaml
@@ -178,6 +206,29 @@ snapshots:
 ```
 
 </File>
+</VersionBlock>
+
+<VersionBlock firsttVersion="1.9">
+<File name='snapshots/properties.yml'>
+
+```yaml
+version: 2
+
+snapshots:
+  - name: [<snapshot-name>]
+    relation: source('my_source', 'my_table')
+    config:
+      [enabled](/reference/resource-configs/enabled): true | false
+      [tags](/reference/resource-configs/tags): <string> | [<string>]
+      [alias](/reference/resource-configs/alias): <string>
+      [pre-hook](/reference/resource-configs/pre-hook-post-hook): <sql-statement> | [<sql-statement>]
+      [post-hook](/reference/resource-configs/pre-hook-post-hook): <sql-statement> | [<sql-statement>]
+      [persist_docs](/reference/resource-configs/persist_docs): {<dict>}
+      [grants](/reference/resource-configs/grants): {<dictionary>}
+```
+
+</File>
+</VersionBlock>
 
 </TabItem>
 
@@ -206,98 +257,121 @@ snapshots:
 ## Configuring snapshots
 Snapshots can be configured in one of three ways:
 
-1. Using a `config` block within a snapshot
-2. Using a `config` [resource property](/reference/model-properties) in a `.yml` file
-3. From the `dbt_project.yml` file, under the `snapshots:` key. To apply a configuration to a snapshot, or directory of snapshots, define the resource path as nested dictionary keys.
+1. Defined in YAML files, typically in your snapshots directory (available in [Versionless](/docs/dbt-versions/versionless-cloud) or and dbt Core v1.9 and higher).
+2. Using a `config` block within a snapshot
+3. Using a `config` [resource property](/reference/model-properties) in a `.yml` file
+4. From the `dbt_project.yml` file, under the `snapshots:` key. To apply a configuration to a snapshot, or directory of snapshots, define the resource path as nested dictionary keys.
 
 Snapshot configurations are applied hierarchically in the order above.
 
 ### Examples
-#### Apply configurations to all snapshots
-To apply a configuration to all snapshots, including those in any installed [packages](/docs/build/packages), nest the configuration directly under the `snapshots` key:
+The following examples demonstrate how to configure snapshots using the `dbt_project.yml` file, a `config` block within a snapshot, and a `.yml` file.
 
-<File name='dbt_project.yml'>
-
-```yml
-
-snapshots:
-  +unique_key: id
-```
-
-</File>
+- #### Apply configurations to all snapshots
+  To apply a configuration to all snapshots, including those in any installed [packages](/docs/build/packages), nest the configuration directly under the `snapshots` key:
 
+    <File name='dbt_project.yml'>
 
-#### Apply configurations to all snapshots in your project
-To apply a configuration to all snapshots in your project only (for example, _excluding_ any snapshots in installed packages), provide your project name as part of the resource path.
+    ```yml
 
-For a project named `jaffle_shop`:
+    snapshots:
+      +unique_key: id
+    ```
 
-<File name='dbt_project.yml'>
+    </File>
 
-```yml
+- #### Apply configurations to all snapshots in your project
+  To apply a configuration to all snapshots in your project only (for example, _excluding_ any snapshots in installed packages), provide your project name as part of the resource path.
 
-snapshots:
-  jaffle_shop:
-    +unique_key: id
-```
+  For a project named `jaffle_shop`:
 
-</File>
-
-Similarly, you can use the name of an installed package to configure snapshots in that package.
-
-#### Apply configurations to one snapshot only
-
-We recommend using `config` blocks if you need to apply a configuration to one snapshot only.
-
-<File name='snapshots/postgres_app/orders_snapshot.sql'>
-
-```sql
-{% snapshot orders_snapshot %}
-    {{
-        config(
-          unique_key='id',
-          strategy='timestamp',
-          updated_at='updated_at'
-        )
-    }}
-    -- Pro-Tip: Use sources in snapshots!
-    select * from {{ source('jaffle_shop', 'orders') }}
-{% endsnapshot %}
-```
-
-</File>
+    <File name='dbt_project.yml'>
 
-You can also use the full resource path (including the project name, and subdirectories) to configure an individual snapshot from your `dbt_project.yml` file.
+    ```yml
 
-For a project named `jaffle_shop`, with a snapshot file within the `snapshots/postgres_app/` directory, where the snapshot is named `orders_snapshot` (as above), this would look like:
-
-<File name='dbt_project.yml'>
-
-```yml
-snapshots:
-  jaffle_shop:
-    postgres_app:
-      orders_snapshot:
+    snapshots:
+      jaffle_shop:
         +unique_key: id
-        +strategy: timestamp
-        +updated_at: updated_at
-```
-
-</File>
-
-You can also define some common configs in a snapshot's `config` block. We don't recommend this for a snapshot's required configuration, however.
-
-<File name='dbt_project.yml'>
-
-```yml
-version: 2
-
-snapshots:
-  - name: orders_snapshot
-    config:
-      persist_docs:
-        relation: true
-        columns: true
-```
-
-</File>
+    ```
+
+    </File>
+
+  Similarly, you can use the name of an installed package to configure snapshots in that package.
+
+- #### Apply configurations to one snapshot only
+  
+  <VersionBlock lastVersion="1.8">
+  We recommend using `config` blocks if you need to apply a configuration to one snapshot only.
+
+    <File name='snapshots/postgres_app/orders_snapshot.sql'>
+
+    ```sql
+    {% snapshot orders_snapshot %}
+        {{
+            config(
+              unique_key='id',
+              strategy='timestamp',
+              updated_at='updated_at'
+            )
+        }}
+        -- Pro-Tip: Use sources in snapshots!
+        select * from {{ source('jaffle_shop', 'orders') }}
+    {% endsnapshot %}
+    ```
+
+    </File>
+    </VersionBlock>
+
+    <VersionBlock firstVersion="1.9">
+     <File name='snapshots/postgres_app/your_snapshot_name.yml'>
+
+    ```yaml
+    snapshots:
+     - name: orders_snapshot
+       relation: source('jaffle_shop', 'orders')
+       config:
+         unique_key: id
+         strategy: timestamp
+         updated_at: updated_at
+         persist_docs:
+           relation: true
+           columns: true
+    ```
+    </File>
+   Pro-tip: Use sources in snapshots: `select * from {{ source('jaffle_shop', 'orders') }}`
+    </VersionBlock>
+
+  You can also use the full resource path (including the project name, and subdirectories) to configure an individual snapshot from your `dbt_project.yml` file.
+
+  For a project named `jaffle_shop`, with a snapshot file within the `snapshots/postgres_app/` directory, where the snapshot is named `orders_snapshot` (as above), this would look like:
+
+    <File name='dbt_project.yml'>
+
+    ```yml
+    snapshots:
+      jaffle_shop:
+        postgres_app:
+          orders_snapshot:
+            +unique_key: id
+            +strategy: timestamp
+            +updated_at: updated_at
+    ```
+
+    </File>
+
+  You can also define some common configs in a snapshot's `config` block. We don't recommend this for a snapshot's required configuration, however.
+
+    <File name='dbt_project.yml'>
+
+    ```yml
+    version: 2
+
+    snapshots:
+      - name: orders_snapshot
+        config:
+          persist_docs:
+            relation: true
+            columns: true
+    ```
+
+    </File>

From 66f65b5191a80fddf52578aaa015631264e39fd7 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Tue, 1 Oct 2024 12:51:30 +0100
Subject: [PATCH 103/200] add properites adn configs

---
 website/docs/reference/snapshot-configs.md    |  4 +-
 website/docs/reference/snapshot-properties.md | 51 ++++++++++++++++++-
 2 files changed, 52 insertions(+), 3 deletions(-)

diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index 2c3e6b665b1..f7005021940 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -83,7 +83,7 @@ snapshots:
 
 **Note:** Required snapshot properties _will not_ work when defined in `config` YAML blocks. We recommend that you define these in `dbt_project.yml` or a `config()` block within the snapshot `.sql` file.
 
-For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or the [latest version of dbt Core](/docs/dbt-versions/core).
+For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt v1.9 and later](/docs/dbt-versions/core).
 
 </VersionBlock>
 
@@ -208,7 +208,7 @@ snapshots:
 </File>
 </VersionBlock>
 
-<VersionBlock firsttVersion="1.9">
+<VersionBlock firstVersion="1.9">
 <File name='snapshots/properties.yml'>
 
 ```yaml
diff --git a/website/docs/reference/snapshot-properties.md b/website/docs/reference/snapshot-properties.md
index 49769af8f6d..54c1083e4b4 100644
--- a/website/docs/reference/snapshot-properties.md
+++ b/website/docs/reference/snapshot-properties.md
@@ -3,12 +3,60 @@ title: Snapshot properties
 description: "Read this guide to learn about using source properties in dbt."
 ---
 
+<VersionBlock firstVersion="1.9">
+
+In Versionless and dbt v1.9 and later, snapshots are defined and configured in YAML files within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). Snapshot properties are declared within these YAML files, allowing you to define both the snapshot configurations and properties in one place.
+
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
 Snapshots properties can be declared in `.yml` files in:
-- your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths))
+- your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)).
 - your `models/` directory (as defined by the [`model-paths` config](/reference/project-configs/model-paths))
 
+</VersionBlock>
+
 We recommend that you put them in the `snapshots/` directory. You can name these files `whatever_you_want.yml`, and nest them arbitrarily deeply in subfolders within the `snapshots/` or `models/` directory.
 
+<VersionBlock firstVersion="1.9">
+
+<File name='snapshots/<filename>.yml'>
+
+```yml
+version: 2
+
+snapshots:
+  - name: <snapshot name>
+    [description](/reference/resource-properties/description): <markdown_string>
+    [meta](/reference/resource-configs/meta): {<dictionary>}
+    [docs](/reference/resource-configs/docs):
+      show: true | false
+      node_color: <color_id> # Use name (such as node_color: purple) or hex code with quotes (such as node_color: "#cd7f32")
+    [config](/reference/resource-properties/config):
+      [<snapshot_config>](/reference/snapshot-configs): <config_value>
+    [tests](/reference/resource-properties/data-tests):
+      - <test>
+      - ...
+    columns:
+      - name: <column name>
+        [description](/reference/resource-properties/description): <markdown_string>
+        [meta](/reference/resource-configs/meta): {<dictionary>}
+        [quote](/reference/resource-properties/quote): true | false
+        [tags](/reference/resource-configs/tags): [<string>]
+        [tests](/reference/resource-properties/data-tests):
+          - <test>
+          - ... # declare additional tests
+      - ... # declare properties of additional columns
+
+    - name: ... # declare properties of additional snapshots
+
+```
+</File>
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
 <File name='snapshots/<filename>.yml'>
 
 ```yml
@@ -41,3 +89,4 @@ snapshots:
 
 ```
 </File>
+</VersionBlock>

From c6996093fc272cb1d969399d2055e1018fbc64fc Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Tue, 1 Oct 2024 14:17:28 +0100
Subject: [PATCH 104/200] update all content under snapshots

---
 .../docs/reference/configs-and-properties.md  |  11 +-
 .../reference/resource-configs/check_cols.md  |  76 ++++++++++++-
 .../invalidate_hard_deletes.md                |  48 ++++++++
 .../resource-configs/pre-hook-post-hook.md    |   6 +-
 .../resource-configs/snapshot_name.md         |  51 ++++++++-
 .../reference/resource-configs/strategy.md    | 105 ++++++++++++++++++
 .../reference/resource-configs/unique_key.md  | 101 ++++++++++++++++-
 .../reference/resource-configs/updated_at.md  |  89 ++++++++++++++-
 website/docs/reference/snapshot-configs.md    |   2 +-
 9 files changed, 482 insertions(+), 7 deletions(-)

diff --git a/website/docs/reference/configs-and-properties.md b/website/docs/reference/configs-and-properties.md
index 20d762b7462..b3f23584a4a 100644
--- a/website/docs/reference/configs-and-properties.md
+++ b/website/docs/reference/configs-and-properties.md
@@ -26,9 +26,18 @@ Whereas you can use **configurations** to:
 
 Depending on the resource type, configurations can be defined in the dbt project and also in an installed package by:
 
+<VersionBlock firstVersion="1.9">
+
+1. Using a [`config` property](/reference/resource-properties/config) in a `.yml` file in the `models/`, `snapshots/`, or `tests/` directory
+2. From the [`dbt_project.yml` file](dbt_project.yml), under the corresponding resource key (`models:`, `snapshots:`, `tests:`, etc)
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
 1. Using a [`config()` Jinja macro](/reference/dbt-jinja-functions/config) within a `model`, `snapshot`, or `test` SQL file
-2. Using a [`config` property](/reference/resource-properties/config) in a `.yml` file
+2. Using a [`config` property](/reference/resource-properties/config) in a `.yml` file in the `models/`, `snapshots/`, or `tests/` directory.
 3. From the [`dbt_project.yml` file](dbt_project.yml), under the corresponding resource key (`models:`, `snapshots:`, `tests:`, etc)
+</VersionBlock>
 
 ### Config inheritance
 
diff --git a/website/docs/reference/resource-configs/check_cols.md b/website/docs/reference/resource-configs/check_cols.md
index bd187409379..b8e7ae8398f 100644
--- a/website/docs/reference/resource-configs/check_cols.md
+++ b/website/docs/reference/resource-configs/check_cols.md
@@ -3,6 +3,31 @@ resource_types: [snapshots]
 description: "Read this guide to understand the check_cols configuration in dbt."
 datatype: "[column_name] | all"
 ---
+
+<VersionBlock firstVersion="1.9">
+<File name="snapshots/<filename>.yml">
+  
+  ```yml
+  snapshots:
+  - name: snapshot_name
+    relation: source('jaffle_shop', 'orders')
+    config:
+      schema: string
+      unique_key: column_name_or_expression
+      strategy: check
+      check_cols:
+        - column_name
+  ```
+  
+</File>
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
+:::info Use the latest snapshot syntax
+
+In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
+:::
 <File name='snapshots/<filename>.sql'>
 
 ```jinja2
@@ -14,7 +39,7 @@ datatype: "[column_name] | all"
 ```
 
 </File>
-
+</VersionBlock>
 
 <File name='dbt_project.yml'>
 
@@ -42,6 +67,30 @@ No default is provided.
 
 ### Check a list of columns for changes
 
+<VersionBlock firstVersion="1.9">
+
+<File name="snapshots/orders_snapshot_check.yml">
+
+```yaml
+snapshots:
+  - name: orders_snapshot_check
+    relation: source('jaffle_shop', 'orders')
+    config:
+      schema: snapshots
+      unique_key: id
+      strategy: check
+      check_cols:
+        - status
+        - is_cancelled
+```
+</File>
+
+To select from this snapshot in a downstream model: `select * from {{ source('jaffle_shop', 'orders') }}`
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
+
 ```sql
 {% snapshot orders_snapshot_check %}
 
@@ -58,8 +107,32 @@ No default is provided.
 {% endsnapshot %}
 ```
 
+</VersionBlock>
+
 ### Check all columns for changes
 
+<VersionBlock firstVersion="1.9">
+
+<File name="orders_snapshot_check.yml">
+
+```yaml
+snapshots:
+  - name: orders_snapshot_check
+    relation: source('jaffle_shop', 'orders')
+    config:
+      schema: snapshots
+      unique_key: id
+      strategy: check
+      check_cols:
+        - all
+  ```
+</File>
+
+To select from this snapshot in a downstream model: `select * from {{ source('jaffle_shop', 'orders') }}`
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
 ```sql
 {% snapshot orders_snapshot_check %}
 
@@ -75,3 +148,4 @@ No default is provided.
 
 {% endsnapshot %}
 ```
+</VersionBlock>
diff --git a/website/docs/reference/resource-configs/invalidate_hard_deletes.md b/website/docs/reference/resource-configs/invalidate_hard_deletes.md
index ba5b37c5d71..94fa40ade9d 100644
--- a/website/docs/reference/resource-configs/invalidate_hard_deletes.md
+++ b/website/docs/reference/resource-configs/invalidate_hard_deletes.md
@@ -4,6 +4,32 @@ description: "Invalidate_hard_deletes - Read this in-depth guide to learn about
 datatype: column_name
 ---
 
+
+<VersionBlock firstVersion="1.9">
+
+<File name='snapshots/<filename>.yml'>
+
+```yaml
+snapshots:
+  - name: snapshot
+    relation: source('my_source', 'my_table')
+    [config](/reference/snapshot-configs):
+      strategy: timestamp
+      invalidate_hard_deletes: true | false
+```
+
+</File>
+
+
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
+:::info Use the latest snapshot syntax
+
+In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
+:::
+
 <File name='snapshots/<filename>.sql'>
 
 ```jinja2
@@ -17,6 +43,7 @@ datatype: column_name
 ```
 
 </File>
+</VersionBlock>
 
 <File name='dbt_project.yml'>
 
@@ -39,6 +66,26 @@ By default the feature is disabled.
 
 ## Example
 
+<VersionBlock firstVersion="1.9">
+<File name='snapshots/orders.yml'>
+
+```yaml
+snapshots:
+  - name: orders_snapshot
+    relation: source('jaffle_shop', 'orders')
+    config:
+      schema: snapshots
+      database: analytics
+      unique_key: id
+      strategy: timestamp
+      updated_at: updated_at
+      invalidate_hard_deletes: true
+  ```
+</File>
+
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
 <File name='snapshots/orders.sql'>
 
 ```sql
@@ -60,3 +107,4 @@ By default the feature is disabled.
 ```
 
 </File>
+</VersionBlock>
diff --git a/website/docs/reference/resource-configs/pre-hook-post-hook.md b/website/docs/reference/resource-configs/pre-hook-post-hook.md
index e1e7d67f02e..cde914fd639 100644
--- a/website/docs/reference/resource-configs/pre-hook-post-hook.md
+++ b/website/docs/reference/resource-configs/pre-hook-post-hook.md
@@ -109,6 +109,8 @@ snapshots:
 
 </File>
 
+<VersionBlock lastVersion="1.8">
+
 <File name='snapshots/<filename>.sql'>
 
 ```sql
@@ -125,13 +127,15 @@ select ...
 ```
 
 </File>
+</VersionBlock>
 
 <File name='snapshots/properties.yml'>
 
 ```yml
 snapshots:
   - name: [<snapshot_name>]
-    config:
+  [config](/reference/resource-properties/config):
+      [<snapshot_config>](/reference/snapshot-configs): <config_value>
       [pre_hook](/reference/resource-configs/pre-hook-post-hook): <sql-statement> | [<sql-statement>]
       [post_hook](/reference/resource-configs/pre-hook-post-hook): <sql-statement> | [<sql-statement>]
 ```
diff --git a/website/docs/reference/resource-configs/snapshot_name.md b/website/docs/reference/resource-configs/snapshot_name.md
index bb4826a116b..a3ce6cbd63b 100644
--- a/website/docs/reference/resource-configs/snapshot_name.md
+++ b/website/docs/reference/resource-configs/snapshot_name.md
@@ -2,6 +2,27 @@
 description: "Snapshot-name - Read this in-depth guide to learn about configurations in dbt."
 ---
 
+<VersionBlock firstVersion="1.9">
+<File name='snapshots/<filename>.yml'>
+
+```yaml
+snapshots:
+  - name: snapshot_name
+    relation: source('my_source', 'my_table')
+    config:
+      schema: string
+      database: string
+      unique_key: column_name_or_expression
+      strategy: timestamp | check
+      updated_at: column_name  # Required if strategy is 'timestamp'
+
+```
+
+</File>
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
 <File name='snapshots/<filename>.sql'>
 
 ```jinja2
@@ -13,9 +34,16 @@ description: "Snapshot-name - Read this in-depth guide to learn about configurat
 
 </File>
 
+:::info Use the latest snapshot syntax
+
+In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
+:::
+
+</VersionBlock>
+
 ## Description
 
-The name of a snapshot, as defined in the `{% snapshot %}` block header. This name is used when selecting from a snapshot using the [`ref` function](/reference/dbt-jinja-functions/ref)
+The name of a snapshot, which is used when selecting from a snapshot using the [`ref` function](/reference/dbt-jinja-functions/ref)
 
 This name must not conflict with the name of any other "refable" resource (models, seeds, other snapshots) defined in this project or package.
 
@@ -24,6 +52,26 @@ The name does not need to match the file name. As a result, snapshot filenames d
 ## Examples
 ### Name a snapshot `order_snapshot`
 
+<VersionBlock firstVersion="1.9">
+<File name='snapshots/order_snapshot.yml'>
+
+
+```yaml
+snapshots:
+  - name: order_snapshot
+    relation: source('my_source', 'my_table')
+    config:
+      schema: string
+      database: string
+      unique_key: column_name_or_expression
+      strategy: timestamp | check
+      updated_at: column_name  # Required if strategy is 'timestamp'
+```
+</File>
+
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
 <File name='snapshots/orders.sql'>
 
 ```jinja2
@@ -35,6 +83,7 @@ The name does not need to match the file name. As a result, snapshot filenames d
 
 </File>
 
+</VersionBlock>
 
 To select from this snapshot in a downstream model:
 
diff --git a/website/docs/reference/resource-configs/strategy.md b/website/docs/reference/resource-configs/strategy.md
index b67feb64fbd..f55b29703f9 100644
--- a/website/docs/reference/resource-configs/strategy.md
+++ b/website/docs/reference/resource-configs/strategy.md
@@ -4,6 +4,14 @@ description: "Strategy - Read this in-depth guide to learn about configurations
 datatype: timestamp | check
 ---
 
+<VersionBlock lastVersion="1.8">
+
+:::info Use the latest snapshot syntax
+
+In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
+:::
+</VersionBlock>
+
 <Tabs
   defaultValue="timestamp"
   values={[
@@ -13,6 +21,23 @@ datatype: timestamp | check
 }>
 <TabItem value="timestamp">
 
+<VersionBlock firstVersion="1.9">
+
+<File name='snapshots/<filename>.yml'>
+  
+  ```yaml
+  snapshots:
+  - [name: snapshot_name](/reference/resource-configs/snapshot_name):
+    relation: source('my_source', 'my_table')
+    config:
+      strategy: timestamp
+      updated_at: column_name
+  ```
+</File>
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
 <File name='snapshots/<filename>.sql'>
 
 ```jinja2
@@ -30,6 +55,7 @@ select ...
 ```
 
 </File>
+</VersionBlock>
 
 <File name='dbt_project.yml'>
 
@@ -47,6 +73,23 @@ snapshots:
 
 <TabItem value="check">
 
+<VersionBlock firstVersion="1.9">
+
+<File name='snapshots/<filename>.yml'>
+  
+  ```yaml
+  snapshots:
+  - [name: snapshot_name](/reference/resource-configs/snapshot_name):
+    relation: source('my_source', 'my_table')
+    config:
+      strategy: check
+      check_cols: 
+        - [column_name] | "all"
+  ```
+</File>
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
 <File name='snapshots/<filename>.sql'>
 
 ```jinja2
@@ -62,6 +105,7 @@ snapshots:
 ```
 
 </File>
+</VersionBlock>
 
 <File name='dbt_project.yml'>
 
@@ -88,7 +132,25 @@ This is a **required configuration**. There is no default value.
 ## Examples
 ### Use the timestamp strategy
 
+<VersionBlock firstVersion="1.9">
+<File name='snapshots/timestamp_example.yml'>
+
+```yaml
+snapshots:
+  - name: orders_snapshot_timestamp
+    relation: source('jaffle_shop', 'orders')
+    config:
+      schema: snapshots
+      strategy: timestamp
+      unique_key: id
+      updated_at: updated_at
+
+```
+
+</File>
+</VersionBlock>
 
+<VersionBlock lastVersion="1.8">
 <File name='snapshots/timestamp_example.sql'>
 
 ```sql
@@ -109,10 +171,33 @@ This is a **required configuration**. There is no default value.
 ```
 
 </File>
+</VersionBlock>
 
 
 ### Use the check strategy
 
+<VersionBlock firstVersion="1.9">
+<File name='snapshots/check_example.yml'>
+
+```yaml
+# snapshots/check_example.yml
+snapshots:
+  - name: orders_snapshot_check
+    relation: source('jaffle_shop', 'orders')
+    config:
+      schema: snapshots
+      unique_key: id
+      strategy: check
+      check_cols:
+        - status
+        - is_cancelled
+
+```
+</File>
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
 ```sql
 {% snapshot orders_snapshot_check %}
 
@@ -129,6 +214,7 @@ This is a **required configuration**. There is no default value.
 
 {% endsnapshot %}
 ```
+</VersionBlock>
 
 ### Advanced: define and use custom snapshot strategy
 Behind the scenes, snapshot strategies are implemented as macros, named `snapshot_<strategy>_strategy`
@@ -140,6 +226,24 @@ It's possible to implement your own snapshot strategy by adding a macro with the
 1. Create a macro named `snapshot_timestamp_with_deletes_strategy`. Use the existing code as a guide and adjust as needed.
 2. Use this strategy via the `strategy` configuration:
 
+<VersionBlock firstVersion="1.9">
+<File name='snapshots/<filename>.yml'>
+
+```yaml
+snapshots:
+  - name: my_custom_snapshot
+    relation: source('my_source', 'my_table')
+    config:
+      strategy: timestamp_with_deletes
+      updated_at: updated_at_column
+      unique_key: id
+      schema: snapshots
+```
+</File>
+</VersionBlock>
+
+
+<VersionBlock lastVersion="1.8">
 <File name='snapshots/<filename>.sql'>
 
 ```jinja2
@@ -155,3 +259,4 @@ It's possible to implement your own snapshot strategy by adding a macro with the
 ```
 
 </File>
+</VersionBlock>
diff --git a/website/docs/reference/resource-configs/unique_key.md b/website/docs/reference/resource-configs/unique_key.md
index 9ad3417fd5e..ac2e08ec61a 100644
--- a/website/docs/reference/resource-configs/unique_key.md
+++ b/website/docs/reference/resource-configs/unique_key.md
@@ -4,6 +4,30 @@ description: "Unique_key - Read this in-depth guide to learn about configuration
 datatype: column_name_or_expression
 ---
 
+
+<VersionBlock firstVersion="1.9">
+
+<File name='snapshots/<filename>.yml'>
+
+```yaml
+snapshots:
+  - name: orders_snapshot
+    relation: source('my_source', 'my_table')
+    [config](/reference/snapshot-configs):
+      unique_key: id
+
+```
+
+</File>
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
+:::info Use the latest snapshot syntax
+
+In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
+:::
+
 <File name='snapshots/<filename>.sql'>
 
 ```jinja2
@@ -12,8 +36,8 @@ datatype: column_name_or_expression
 ) }}
 
 ```
-
 </File>
+</VersionBlock>
 
 <File name='dbt_project.yml'>
 
@@ -29,6 +53,8 @@ snapshots:
 ## Description
 A column name or expression that is unique for the inputs of a snapshot. dbt uses this to match records between a result set and an existing snapshot, so that changes can be captured correctly.
 
+In Versionless and dbt v1.9 and later, [snapshots](/docs/build/snapshots) are defined and configured in YAML files within your `snapshots/` directory. The `unique_key` is specified within the `config` block of your snapshot YAML file.
+
 :::caution 
 
 Providing a non-unique key will result in unexpected snapshot results. dbt **will not** test the uniqueness of this key, consider [testing](/blog/primary-key-testing#how-to-test-primary-keys-with-dbt) the source data to ensure that this key is indeed unique.
@@ -41,6 +67,26 @@ This is a **required parameter**. No default is provided.
 
 ## Examples
 ### Use an `id` column as a unique key
+
+<VersionBlock firstVersion="1.9">
+
+<File name="snapshots/orders_snapshot.yml">
+
+```yaml
+snapshots:
+  - name: orders_snapshot
+    relation: source('jaffle_shop', 'orders')
+    config:
+      schema: snapshots
+      unique_key: id
+      strategy: timestamp
+      updated_at: updated_at
+
+```
+</File>
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
 <File name='snapshots/<filename>.sql'>
 
 ```jinja2
@@ -55,7 +101,9 @@ This is a **required parameter**. No default is provided.
 </File>
 
 You can also write this in yaml. This might be a good idea if multiple snapshots share the same `unique_key` (though we prefer to apply this configuration in a config block, as above).
+</VersionBlock>
 
+You can also specify configurations in your `dbt_project.yml` file if multiple snapshots share the same `unique_key`:
 <File name='dbt_project.yml'>
 
 ```yml
@@ -70,6 +118,25 @@ snapshots:
 ### Use a combination of two columns as a unique key
 This configuration accepts a valid column expression. As such, you can concatenate two columns together as a unique key if required. It's a good idea to use a separator (e.g. `'-'`) to ensure uniqueness.
 
+<VersionBlock firstVersion="1.9">
+
+<File name='snapshots/transaction_items_snapshot.yml'>
+
+```yaml
+snapshots:
+  - name: transaction_items_snapshot
+    relation: source('erp', 'transactions')
+    config:
+      schema: snapshots
+      unique_key: "transaction_id || '-' || line_item_id"
+      strategy: timestamp
+      updated_at: updated_at
+
+```
+</File>
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
 
 <File name='snapshots/transaction_items_snapshot.sql'>
 
@@ -93,10 +160,41 @@ from {{ source('erp', 'transactions') }}
 ```
 
 </File>
+</VersionBlock>
 
 Though, it's probably a better idea to construct this column in your query and use that as the `unique_key`:
 
+<VersionBlock firstVersion="1.9">
+
+<File name='snapshots/transaction_items_snapshot.yml'>
+
+```yaml
+snapshots:
+  - name: transaction_items_snapshot
+    relation: {{ ref('transaction_items_ephemeral') }}
+    config:
+      schema: snapshots
+      unique_key: id
+      strategy: timestamp
+      updated_at: updated_at
+
+# models/transaction_items_ephemeral.sql
+{{ config(materialized='ephemeral') }}
+
+select
+  transaction_id || '-' || line_item_id as id,
+  *
+from {{ source('erp', 'transactions') }}
+
+```
+
+</File>
+
+In this example, we create an ephemeral model `transaction_items_ephemeral` that creates the unique key id, and then references it in our snapshot.
+
+</VersionBlock>
 
+<VersionBlock lastVersion="1.8">
 <File name='snapshots/transaction_items_snapshot.sql'>
 
 ```jinja2
@@ -121,3 +219,4 @@ from {{ source('erp', 'transactions') }}
 ```
 
 </File>
+</VersionBlock>
diff --git a/website/docs/reference/resource-configs/updated_at.md b/website/docs/reference/resource-configs/updated_at.md
index c61b04264be..9c15e99c512 100644
--- a/website/docs/reference/resource-configs/updated_at.md
+++ b/website/docs/reference/resource-configs/updated_at.md
@@ -3,6 +3,30 @@ resource_types: [snapshots]
 description: "Updated_at - Read this in-depth guide to learn about configurations in dbt."
 datatype: column_name
 ---
+
+
+<VersionBlock firstVersion="1.9">
+
+<File name="snapshots/snapshots.yml">
+
+```yaml
+snapshots:
+  - name: snapshot
+    relation: source('my_source', 'my_table')
+    [config](/reference/snapshot-configs):
+      strategy: timestamp
+      updated_at: column_name
+```
+</File>
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
+:::info Use the latest snapshot syntax
+
+In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
+:::
+
 <File name='snapshots/<filename>.sql'>
 
 ```jinja2
@@ -14,6 +38,7 @@ datatype: column_name
 ```
 
 </File>
+</VersionBlock>
 
 <File name='dbt_project.yml'>
 
@@ -37,7 +62,6 @@ You will get a warning if the data type of the `updated_at` column does not matc
 
 </VersionBlock>
 
-
 ## Description
 A column within the results of your snapshot query that represents when the record row was last updated.
 
@@ -50,6 +74,25 @@ No default is provided.
 ## Examples
 ### Use a column name `updated_at`
 
+<VersionBlock firstVersion="1.9">
+
+<File name="snapshots/orders_snapshot.yml">
+
+```yaml
+snapshots:
+  - name: orders_snapshot
+    relation: source('jaffle_shop', 'orders')
+    config:
+      schema: snapshots
+      unique_key: id
+      strategy: timestamp
+      updated_at: updated_at
+
+```
+</File>
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
 <File name='snapshots/orders.sql'>
 
 ```sql
@@ -72,12 +115,55 @@ select * from {{ source('jaffle_shop', 'orders') }}
 ```
 
 </File>
+</VersionBlock>
 
 ### Coalesce two columns to create a reliable `updated_at` column
 Consider a data source that only has an `updated_at` column filled in when a record is updated (so a `null` value indicates that the record hasn't been updated after it was created).
 
 Since the `updated_at` configuration only takes a column name, rather than an expression, you should update your snapshot query to include the coalesced column.
 
+
+<VersionBlock firstVersion="1.9">
+
+1. Create an staging model to perform the transformation.
+   In your `models/` directory, create a SQL file that configures an staging model to coalesce the `updated_at` and `created_at` columns into a new column `updated_at_for_snapshot`.
+
+    <File name='models/staging_orders.sql'>
+
+    ```sql
+    select  * coalesce (updated_at, created_at) as updated_at_for_snapshot
+    from {{ source('jaffle_shop', 'orders') }}
+
+    ```
+    </File>
+
+2. Define the snapshot configuration in a YAML file. 
+   In your `snapshots/` directory, create a YAML file that defines your snapshot and references the `updated_at_for_snapshot` staging model you just created.
+
+    <File name="snapshots/orders_snapshot.yml">
+
+    ```yaml
+    snapshots:
+      - name: orders_snapshot
+        relation: {{ ref('staging_orders') }}
+        config:
+          schema: snapshots
+          unique_key: id
+          strategy: timestamp
+          updated_at: updated_at_for_snapshot
+
+    ```
+    </File>
+
+3. Run `dbt snapshot` to execute the snapshot.
+
+Alternatively, you can also create an ephemeral model to performs the required transformations. Then, you reference this model in your snapshot's `relation` key.
+
+</VersionBlock>
+
+
+<VersionBlock lastVersion="1.8">
+
 <File name='snapshots/orders.sql'>
 
 ```sql
@@ -104,3 +190,4 @@ from {{ source('jaffle_shop', 'orders') }}
 ```
 
 </File>
+</VersionBlock>
diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index f7005021940..bda6da5a26e 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -323,7 +323,7 @@ The following examples demonstrate how to configure snapshots using the `dbt_pro
     </VersionBlock>
 
     <VersionBlock firstVersion="1.9">
-     <File name='snapshots/postgres_app/your_snapshot_name.yml'>
+     <File name='snapshots/postgres_app/order_snapshot.yml'>
 
     ```yaml
     snapshots:

From b81da1590078beab6235372a4521e04707cfa67b Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 1 Oct 2024 14:25:42 +0100
Subject: [PATCH 105/200] Update check_cols.md

---
 website/docs/reference/resource-configs/check_cols.md | 11 ++++-------
 1 file changed, 4 insertions(+), 7 deletions(-)

diff --git a/website/docs/reference/resource-configs/check_cols.md b/website/docs/reference/resource-configs/check_cols.md
index b8e7ae8398f..44aeef96c37 100644
--- a/website/docs/reference/resource-configs/check_cols.md
+++ b/website/docs/reference/resource-configs/check_cols.md
@@ -22,12 +22,6 @@ datatype: "[column_name] | all"
 </File>
 </VersionBlock>
 
-<VersionBlock lastVersion="1.8">
-
-:::info Use the latest snapshot syntax
-
-In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
-:::
 <File name='snapshots/<filename>.sql'>
 
 ```jinja2
@@ -39,7 +33,6 @@ In Versionless and dbt v1.9 and later, snapshots are defined in an updated synta
 ```
 
 </File>
-</VersionBlock>
 
 <File name='dbt_project.yml'>
 
@@ -90,6 +83,10 @@ To select from this snapshot in a downstream model: `select * from {{ source('ja
 
 <VersionBlock lastVersion="1.8">
 
+:::info Use the latest snapshot syntax
+
+In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
+:::
 
 ```sql
 {% snapshot orders_snapshot_check %}

From dc6b25e1bb6e5c8d543e84e16d629f24c3199c35 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 1 Oct 2024 14:35:50 +0100
Subject: [PATCH 106/200] Update check_cols.md

---
 .../docs/reference/resource-configs/check_cols.md   | 13 ++++++++-----
 1 file changed, 8 insertions(+), 5 deletions(-)

diff --git a/website/docs/reference/resource-configs/check_cols.md b/website/docs/reference/resource-configs/check_cols.md
index 44aeef96c37..8a44c58a26a 100644
--- a/website/docs/reference/resource-configs/check_cols.md
+++ b/website/docs/reference/resource-configs/check_cols.md
@@ -22,6 +22,13 @@ datatype: "[column_name] | all"
 </File>
 </VersionBlock>
 
+<VersionBlock lastVersion="1.8"
+
+:::info Use the latest snapshot syntax
+
+In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
+:::
+
 <File name='snapshots/<filename>.sql'>
 
 ```jinja2
@@ -33,6 +40,7 @@ datatype: "[column_name] | all"
 ```
 
 </File>
+</VersionBlock>
 
 <File name='dbt_project.yml'>
 
@@ -83,11 +91,6 @@ To select from this snapshot in a downstream model: `select * from {{ source('ja
 
 <VersionBlock lastVersion="1.8">
 
-:::info Use the latest snapshot syntax
-
-In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
-:::
-
 ```sql
 {% snapshot orders_snapshot_check %}
 

From 966cf41cd7ed103216b54a3b5f0262d696b3e215 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 1 Oct 2024 14:45:11 +0100
Subject: [PATCH 107/200] Update check_cols.md

---
 website/docs/reference/resource-configs/check_cols.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-configs/check_cols.md b/website/docs/reference/resource-configs/check_cols.md
index 8a44c58a26a..f1fa75d6a46 100644
--- a/website/docs/reference/resource-configs/check_cols.md
+++ b/website/docs/reference/resource-configs/check_cols.md
@@ -22,7 +22,7 @@ datatype: "[column_name] | all"
 </File>
 </VersionBlock>
 
-<VersionBlock lastVersion="1.8"
+<VersionBlock lastVersion="1.8">
 
 :::info Use the latest snapshot syntax
 

From 78706d6ffc06534612a7de5b209927f2a49f7563 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 1 Oct 2024 14:53:58 +0100
Subject: [PATCH 108/200] Update pre-hook-post-hook.md

fix spacing
---
 website/docs/reference/resource-configs/pre-hook-post-hook.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-configs/pre-hook-post-hook.md b/website/docs/reference/resource-configs/pre-hook-post-hook.md
index cde914fd639..36964538191 100644
--- a/website/docs/reference/resource-configs/pre-hook-post-hook.md
+++ b/website/docs/reference/resource-configs/pre-hook-post-hook.md
@@ -134,7 +134,7 @@ select ...
 ```yml
 snapshots:
   - name: [<snapshot_name>]
-  [config](/reference/resource-properties/config):
+    [config](/reference/resource-properties/config):
       [<snapshot_config>](/reference/snapshot-configs): <config_value>
       [pre_hook](/reference/resource-configs/pre-hook-post-hook): <sql-statement> | [<sql-statement>]
       [post_hook](/reference/resource-configs/pre-hook-post-hook): <sql-statement> | [<sql-statement>]

From dcba81a45a86e1ee8ac904e022bf31c64d7900c8 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 1 Oct 2024 15:46:34 +0100
Subject: [PATCH 109/200] Update
 website/docs/docs/dbt-versions/release-notes.md

---
 website/docs/docs/dbt-versions/release-notes.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index cef9020b579..fb81a4777de 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -21,7 +21,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 ## September 2024
 
 - **New**: In dbt Cloud Versionless, [Snapshots](/docs/build/snapshots) have been updated to use YAML configuration files instead of SQL snapshot blocks. This new feature simplifies snapshot management and improves performance, and will soon be released in dbt Core 1.9.
-  - Who does this affect? New user on Versionless can define snapshots using the new YAML specification. Users upgrading to Versionless who use snapshots need to migrate their snapshot definitions to YAML. 
+  - Who does this affect? New user on Versionless can define snapshots using the new YAML specification. Users upgrading to Versionless who use snapshots can keep their existing configuration or can choose to migrate their snapshot definitions to YAML. 
   - Users on dbt 1.8 and earlier: No action needed; existing snapshots will continue to work as before. However, we recommend upgrading to Versionless to take advantage of the new snapshot features.
 - **Enhancement**: You can now run [Semantic Layer commands](/docs/build/metricflow-commands) commands in the [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud). The supported commands are `dbt sl list`, `dbt sl list metrics`, `dbt sl list dimension-values`, `dbt sl list saved-queries`, `dbt sl query`, `dbt sl list dimensions`, `dbt sl list entities`, and `dbt sl validate`. 
 - **New**: Microsoft Excel, a dbt Semantic Layer integration, is now generally available. The integration allows you to connect to Microsoft Excel to query metrics and collaborate with your team. Available for [Excel Desktop](https://pages.store.office.com/addinsinstallpage.aspx?assetid=WA200007100&rs=en-US&correlationId=4132ecd1-425d-982d-efb4-de94ebc83f26) or [Excel Online](https://pages.store.office.com/addinsinstallpage.aspx?assetid=WA200007100&rs=en-US&correlationid=4132ecd1-425d-982d-efb4-de94ebc83f26&isWac=True). For more information, refer to [Microsoft Excel](/docs/cloud-integrations/semantic-layer/excel).

From 396c1709cb70dae8265eeea5ba350fa47c519cd1 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 1 Oct 2024 15:46:54 +0100
Subject: [PATCH 110/200] Update
 website/docs/docs/dbt-versions/release-notes.md

---
 website/docs/docs/dbt-versions/release-notes.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index fb81a4777de..d9f71121c8e 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -22,7 +22,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 
 - **New**: In dbt Cloud Versionless, [Snapshots](/docs/build/snapshots) have been updated to use YAML configuration files instead of SQL snapshot blocks. This new feature simplifies snapshot management and improves performance, and will soon be released in dbt Core 1.9.
   - Who does this affect? New user on Versionless can define snapshots using the new YAML specification. Users upgrading to Versionless who use snapshots can keep their existing configuration or can choose to migrate their snapshot definitions to YAML. 
-  - Users on dbt 1.8 and earlier: No action needed; existing snapshots will continue to work as before. However, we recommend upgrading to Versionless to take advantage of the new snapshot features.
+  - Users on dbt 1.8 and earlier: No action is needed; existing snapshots will continue to work as before. However, we recommend upgrading to Versionless to take advantage of the new snapshot features.
 - **Enhancement**: You can now run [Semantic Layer commands](/docs/build/metricflow-commands) commands in the [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud). The supported commands are `dbt sl list`, `dbt sl list metrics`, `dbt sl list dimension-values`, `dbt sl list saved-queries`, `dbt sl query`, `dbt sl list dimensions`, `dbt sl list entities`, and `dbt sl validate`. 
 - **New**: Microsoft Excel, a dbt Semantic Layer integration, is now generally available. The integration allows you to connect to Microsoft Excel to query metrics and collaborate with your team. Available for [Excel Desktop](https://pages.store.office.com/addinsinstallpage.aspx?assetid=WA200007100&rs=en-US&correlationId=4132ecd1-425d-982d-efb4-de94ebc83f26) or [Excel Online](https://pages.store.office.com/addinsinstallpage.aspx?assetid=WA200007100&rs=en-US&correlationid=4132ecd1-425d-982d-efb4-de94ebc83f26&isWac=True). For more information, refer to [Microsoft Excel](/docs/cloud-integrations/semantic-layer/excel).
 - **New**: [Data health tile](/docs/collaborate/data-tile) is now generally available in dbt Explorer. Data health tiles provide a quick at-a-glance view of your data quality, highlighting potential issues in your data. You can embed these tiles in your dashboards to quickly identify and address data quality issues in your dbt project.

From d93d65a8115ae52ca9e21f462d939fee8497d2a9 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 1 Oct 2024 18:02:09 +0100
Subject: [PATCH 111/200] Update website/docs/reference/snapshot-configs.md

Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 website/docs/reference/snapshot-configs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index bda6da5a26e..3cff857d1b6 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -255,7 +255,7 @@ snapshots:
 
 
 ## Configuring snapshots
-Snapshots can be configured in one of three ways:
+Snapshots can be configured in multiple ways:
 
 1. Defined in YAML files, typically in your snapshots directory (available in [Versionless](/docs/dbt-versions/versionless-cloud) or and dbt Core v1.9 and higher).
 2. Using a `config` block within a snapshot

From 5ef956ada2e50fce98d145e880336c857cffd970 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 1 Oct 2024 18:04:08 +0100
Subject: [PATCH 112/200] Update website/docs/reference/snapshot-configs.md

---
 website/docs/reference/snapshot-configs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index 3cff857d1b6..179c1d52aed 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -257,7 +257,7 @@ snapshots:
 ## Configuring snapshots
 Snapshots can be configured in multiple ways:
 
-1. Defined in YAML files, typically in your snapshots directory (available in [Versionless](/docs/dbt-versions/versionless-cloud) or and dbt Core v1.9 and higher).
+1. Defined in YAML files, typically in your [snapshots directory](/reference/project-configs/snapshot-paths) (available in [Versionless](/docs/dbt-versions/versionless-cloud) or and dbt Core v1.9 and higher).
 2. Using a `config` block within a snapshot
 3. Using a `config` [resource property](/reference/model-properties) in a `.yml` file
 4. From the `dbt_project.yml` file, under the `snapshots:` key. To apply a configuration to a snapshot, or directory of snapshots, define the resource path as nested dictionary keys.

From 7f600bac72660d0e948a43204d01599c5a288fc3 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Tue, 1 Oct 2024 20:15:53 +0100
Subject: [PATCH 113/200] update and triple check

---
 .../docs/reference/configs-and-properties.md  |  4 +-
 .../project-configs/snapshot-paths.md         | 11 ++-
 .../reference/resource-configs/check_cols.md  |  2 +-
 .../reference/resource-configs/strategy.md    |  1 -
 website/docs/reference/snapshot-configs.md    | 73 ++++++++++++-------
 website/docs/reference/snapshot-properties.md |  2 +
 6 files changed, 60 insertions(+), 33 deletions(-)

diff --git a/website/docs/reference/configs-and-properties.md b/website/docs/reference/configs-and-properties.md
index b3f23584a4a..20892898a51 100644
--- a/website/docs/reference/configs-and-properties.md
+++ b/website/docs/reference/configs-and-properties.md
@@ -28,14 +28,14 @@ Depending on the resource type, configurations can be defined in the dbt project
 
 <VersionBlock firstVersion="1.9">
 
-1. Using a [`config` property](/reference/resource-properties/config) in a `.yml` file in the `models/`, `snapshots/`, or `tests/` directory
+1. Using a [`config` property](/reference/resource-properties/config) in a `.yml` file in the `models/`, `snapshots/`, `seeds/`, `analyses`, or `tests/` directory
 2. From the [`dbt_project.yml` file](dbt_project.yml), under the corresponding resource key (`models:`, `snapshots:`, `tests:`, etc)
 </VersionBlock>
 
 <VersionBlock lastVersion="1.8">
 
 1. Using a [`config()` Jinja macro](/reference/dbt-jinja-functions/config) within a `model`, `snapshot`, or `test` SQL file
-2. Using a [`config` property](/reference/resource-properties/config) in a `.yml` file in the `models/`, `snapshots/`, or `tests/` directory.
+2. Using a [`config` property](/reference/resource-properties/config) in a `.yml` file in the `models/`, `snapshots/`, `seeds/`, `analyses/`, or `tests/` directory.
 3. From the [`dbt_project.yml` file](dbt_project.yml), under the corresponding resource key (`models:`, `snapshots:`, `tests:`, etc)
 </VersionBlock>
 
diff --git a/website/docs/reference/project-configs/snapshot-paths.md b/website/docs/reference/project-configs/snapshot-paths.md
index 81b2759609d..8319833f1e6 100644
--- a/website/docs/reference/project-configs/snapshot-paths.md
+++ b/website/docs/reference/project-configs/snapshot-paths.md
@@ -12,7 +12,16 @@ snapshot-paths: [directorypath]
 </File>
 
 ## Definition
-Optionally specify a custom list of directories where [snapshots](/docs/build/snapshots) are located. Note that you cannot co-locate models and snapshots.
+
+Optionally specify a custom list of directories where [snapshots](/docs/build/snapshots) are located. 
+
+<VersionBlock firstVersion="1.9">
+In [Versionless](/docs/dbt-versions/versionless-cloud) and on dbt v1.9 and higher, you can co-locate your snapshots with models if they are [defined using the latest YAML syntax](/docs/build/snapshots). 
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+Note that you cannot co-locate models and snapshots. However, in [Versionless](/docs/dbt-versions/versionless-cloud) and on dbt v1.9 and higher, you can co-locate your snapshots with models if they are [defined using the latest YAML syntax](/docs/build/snapshots).
+</VersionBlock>
 
 ## Default
 By default, dbt will search for snapshots in the `snapshots` directory, i.e. `snapshot-paths: ["snapshots"]`
diff --git a/website/docs/reference/resource-configs/check_cols.md b/website/docs/reference/resource-configs/check_cols.md
index f1fa75d6a46..b9be47fc2f7 100644
--- a/website/docs/reference/resource-configs/check_cols.md
+++ b/website/docs/reference/resource-configs/check_cols.md
@@ -10,7 +10,7 @@ datatype: "[column_name] | all"
   ```yml
   snapshots:
   - name: snapshot_name
-    relation: source('jaffle_shop', 'orders')
+    relation: source('my_source', 'my_table')
     config:
       schema: string
       unique_key: column_name_or_expression
diff --git a/website/docs/reference/resource-configs/strategy.md b/website/docs/reference/resource-configs/strategy.md
index f55b29703f9..1aa06a29fab 100644
--- a/website/docs/reference/resource-configs/strategy.md
+++ b/website/docs/reference/resource-configs/strategy.md
@@ -237,7 +237,6 @@ snapshots:
       strategy: timestamp_with_deletes
       updated_at: updated_at_column
       unique_key: id
-      schema: snapshots
 ```
 </File>
 </VersionBlock>
diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index 179c1d52aed..98843c01dac 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -23,15 +23,24 @@ Parts of a snapshot:
 
 <ConfigResource meta={frontMatter.meta} />
 
+<VersionBlock lastVersion="1.8">
+
+:::info Use the latest snapshot syntax
+
+In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
+:::
+</VersionBlock>
+
 <Tabs
   groupId="config-languages"
   defaultValue="project-yaml"
   values={[
     { label: 'Project file', value: 'project-yaml', },
-    { label: 'Property file', value: 'property-yaml', },
-    { label: 'Config block', value: 'config', },
+    { label: 'YAML file', value: 'property-yaml', },
+    { label: 'Config block', value: 'config-resource', },
   ]
 }>
+
 <TabItem value="project-yaml">
 
 <VersionBlock lastVersion="1.8">
@@ -83,7 +92,7 @@ snapshots:
 
 **Note:** Required snapshot properties _will not_ work when defined in `config` YAML blocks. We recommend that you define these in `dbt_project.yml` or a `config()` block within the snapshot `.sql` file.
 
-For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt v1.9 and later](/docs/dbt-versions/core).
+For faster and more efficient management, consider the [updated snapshot YAML syntax](/docs/build/snapshots), [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt v1.9 and later](/docs/dbt-versions/core).
 
 </VersionBlock>
 
@@ -111,33 +120,21 @@ snapshots:
 
 </TabItem>
 
-<TabItem value="config">
+<TabItem value="config-resource">
 
-<VersionBlock lastVersion="1.8">
+<VersionBlock firsttVersion="1.9">
 
-```jinja
-
-{{ config(
-    [target_schema](/reference/resource-configs/target_schema)="<string>",
-    [target_database](/reference/resource-configs/target_database)="<string>",
-    [unique_key](/reference/resource-configs/unique_key)="<column_name_or_expression>",
-    [strategy](/reference/resource-configs/strategy)="timestamp" | "check",
-    [updated_at](/reference/resource-configs/updated_at)="<column_name>",
-    [check_cols](/reference/resource-configs/check_cols)=["<column_name>"] | "all"
-) }}
-
-```
+Configurations can be applied to snapshots using the more performant [YAML syntax](/docs/build/snapshots), aavilable in Versionless and dbt v1.9 and higher, in the the `snapshot` directory file.
 
 </VersionBlock>
 
-<VersionBlock firstVersion="1.9">
+<VersionBlock lastVersion="1.8">
 
 ```jinja
 
 {{ config(
-    [schema](/reference/resource-configs/schema)="<string>",
-    [database](/reference/resource-configs/database)="<string>",
-    [alias](/reference/resource-configs/alias)="<string>",
+    [target_schema](/reference/resource-configs/target_schema)="<string>",
+    [target_database](/reference/resource-configs/target_database)="<string>",
     [unique_key](/reference/resource-configs/unique_key)="<column_name_or_expression>",
     [strategy](/reference/resource-configs/strategy)="timestamp" | "check",
     [updated_at](/reference/resource-configs/updated_at)="<column_name>",
@@ -145,7 +142,6 @@ snapshots:
 ) }}
 
 ```
-
 </VersionBlock>
 
 </TabItem>
@@ -162,7 +158,7 @@ snapshots:
   defaultValue="project-yaml"
   values={[
     { label: 'Project file', value: 'project-yaml', },
-    { label: 'Property file', value: 'property-yaml', },
+    { label: 'YAML file', value: 'property-yaml', },
     { label: 'Config block', value: 'config', },
   ]
 }>
@@ -188,6 +184,7 @@ snapshots:
 <TabItem value="property-yaml">
 
 <VersionBlock lastVersion="1.8">
+
 <File name='snapshots/properties.yml'>
 
 ```yaml
@@ -209,6 +206,7 @@ snapshots:
 </VersionBlock>
 
 <VersionBlock firstVersion="1.9">
+
 <File name='snapshots/properties.yml'>
 
 ```yaml
@@ -234,6 +232,13 @@ snapshots:
 
 <TabItem value="config">
 
+<VersionBlock firsttVersion="1.9">
+
+Configurations can be applied to snapshots using the more performant [YAML syntax](/docs/build/snapshots), aavilable in Versionless and dbt v1.9 and higher, in the the `snapshot` directory file.
+
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
 
 ```jinja
 
@@ -249,18 +254,30 @@ snapshots:
 
 ```
 
+</VersionBlock>
+
 </TabItem>
 
 </Tabs>
 
-
 ## Configuring snapshots
 Snapshots can be configured in multiple ways:
 
-1. Defined in YAML files, typically in your [snapshots directory](/reference/project-configs/snapshot-paths) (available in [Versionless](/docs/dbt-versions/versionless-cloud) or and dbt Core v1.9 and higher).
+<VersionBlock firstVersion="1.9">
+
+1. Defined in YAML files using a `config` [resource property](/reference/model-properties), typically in your [snapshots directory](/reference/project-configs/snapshot-paths) (available in [Versionless](/docs/dbt-versions/versionless-cloud) or and dbt Core v1.9 and higher).
+2. From the `dbt_project.yml` file, under the `snapshots:` key. To apply a configuration to a snapshot, or directory of snapshots, define the resource path as nested dictionary keys.
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
+
+1. Defined in YAML files using a `config` [resource property](/reference/model-properties), typically in your [snapshots directory](/reference/project-configs/snapshot-paths) (available in [Versionless](/docs/dbt-versions/versionless-cloud) or and dbt Core v1.9 and higher).
 2. Using a `config` block within a snapshot
-3. Using a `config` [resource property](/reference/model-properties) in a `.yml` file
-4. From the `dbt_project.yml` file, under the `snapshots:` key. To apply a configuration to a snapshot, or directory of snapshots, define the resource path as nested dictionary keys.
+3. From the `dbt_project.yml` file, under the `snapshots:` key. To apply a configuration to a snapshot, or directory of snapshots, define the resource path as nested dictionary keys.
+
+Note that in Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
+
+</VersionBlock>
 
 Snapshot configurations are applied hierarchically in the order above.
 
@@ -301,7 +318,7 @@ The following examples demonstrate how to configure snapshots using the `dbt_pro
 - #### Apply configurations to one snapshot only
   
   <VersionBlock lastVersion="1.8">
-  We recommend using `config` blocks if you need to apply a configuration to one snapshot only.
+  Use `config` blocks if you need to apply a configuration to one snapshot only. 
 
     <File name='snapshots/postgres_app/orders_snapshot.sql'>
 
diff --git a/website/docs/reference/snapshot-properties.md b/website/docs/reference/snapshot-properties.md
index 54c1083e4b4..d940a9f344c 100644
--- a/website/docs/reference/snapshot-properties.md
+++ b/website/docs/reference/snapshot-properties.md
@@ -15,6 +15,8 @@ Snapshots properties can be declared in `.yml` files in:
 - your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)).
 - your `models/` directory (as defined by the [`model-paths` config](/reference/project-configs/model-paths))
 
+Note, in Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
+
 </VersionBlock>
 
 We recommend that you put them in the `snapshots/` directory. You can name these files `whatever_you_want.yml`, and nest them arbitrarily deeply in subfolders within the `snapshots/` or `models/` directory.

From b9c2937968ceb053920f76d1a89d8df12ea22240 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Tue, 1 Oct 2024 20:20:03 +0100
Subject: [PATCH 114/200] update

---
 website/docs/reference/resource-configs/pre-hook-post-hook.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-configs/pre-hook-post-hook.md b/website/docs/reference/resource-configs/pre-hook-post-hook.md
index 36964538191..4e8e470be54 100644
--- a/website/docs/reference/resource-configs/pre-hook-post-hook.md
+++ b/website/docs/reference/resource-configs/pre-hook-post-hook.md
@@ -129,7 +129,7 @@ select ...
 </File>
 </VersionBlock>
 
-<File name='snapshots/properties.yml'>
+<File name='snapshots/snapshot.yml'>
 
 ```yml
 snapshots:

From 73a13b045e0d52c1f0db1505e317f5845019f094 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Tue, 1 Oct 2024 20:27:10 +0100
Subject: [PATCH 115/200] update ref to downstream

---
 website/docs/reference/resource-configs/check_cols.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/website/docs/reference/resource-configs/check_cols.md b/website/docs/reference/resource-configs/check_cols.md
index b9be47fc2f7..9230a0b10ed 100644
--- a/website/docs/reference/resource-configs/check_cols.md
+++ b/website/docs/reference/resource-configs/check_cols.md
@@ -86,7 +86,7 @@ snapshots:
 ```
 </File>
 
-To select from this snapshot in a downstream model: `select * from {{ source('jaffle_shop', 'orders') }}`
+To select from this snapshot in a downstream model: `select * from {{ ref('orders_snapshot_check') }}`
 </VersionBlock>
 
 <VersionBlock lastVersion="1.8">
@@ -128,7 +128,7 @@ snapshots:
   ```
 </File>
 
-To select from this snapshot in a downstream model: `select * from {{ source('jaffle_shop', 'orders') }}`
+To select from this snapshot in a downstream model: `select * from {{{ ref('orders_snapshot_check') }}`
 </VersionBlock>
 
 <VersionBlock lastVersion="1.8">

From ce7a3ceb80c286efda27f15cf919ee7b78e36f33 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Tue, 1 Oct 2024 15:41:42 -0400
Subject: [PATCH 116/200] Update explorer-qs.md

fixed weird bullet indent
---
 website/docs/guides/explorer-qs.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index a3d15aca51c..bfcb179ea1f 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -31,8 +31,7 @@ In this guide, you will learn how to:
 
 ## Setup
 Now we’ll be creating your dbt Cloud account and connecting it to a data warehouse. 
-1. Go to this URL:  https://cloud.getdbt.com/coalesce-workshop-signup:
-  - Sign out if you're already logged in.
+1. Go to this URL (Sign out if you're already logged in.):  https://cloud.getdbt.com/coalesce-workshop-signup
 2. Enter your first name and last name.
 3. Select the **Exploring a dbt Mesh implementation with dbt Explorer** option.
 4. Use the passcode provided by the workshop facilitator.

From 6f4030480e116c58ccbe6695362949498631f746 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Tue, 1 Oct 2024 16:29:11 -0400
Subject: [PATCH 117/200] Update explorer-qs.md

updated hands on bullets
---
 website/docs/guides/explorer-qs.md | 70 +++++++++++++++++-------------
 1 file changed, 39 insertions(+), 31 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index bfcb179ea1f..b15fa6cd76b 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -38,25 +38,34 @@ Now we’ll be creating your dbt Cloud account and connecting it to a data wareh
 5. Agree to the terms of service and click the **Complete Registration** button.
 6. Wait about 30 seconds, you’ll be in the dbt Cloud project for this course and already connected to a data warehouse.
 
-## Project overview and latest run status
-
+## Performance
 <Lightbox src="/img/quickstarts/dbt-cloud/explorer_performance_tab.png" width="100%" title="dbt Explorer performance tab" />
-
-With dbt Explorer, you can view your project's resources (such as models, tests, and metrics), their lineage, and model consumption to gain a better understanding of its latest production state. Navigate and manage your projects within dbt Cloud to help you and other data developers, analysts, and consumers discover and leverage your dbt resources.
+dbt Explorer will show you your project's most executed models, longest model executions, most failed models and tests, and most consumed models all in one place: The performance tab.
 
 ### Hands-On
-- Explore the **Model** tab 
-  - Which job took the Longest? 
-  - Which job/jobs failed? Why?
+- Trigger the Daily Prod job to run again
+- Explore the Performance tab on the Project Details page
+  - Which model took the longest over the last two weeks? Over the last month? 
+  - Which model failed the most tests? 
+  - Click on the model that took the longest to run in the Longest model executions graph
+    - What is the average duration time over the last two weeks? Over the last month?
+    - How often is the model being built? What is the Model Test Failure Rate?
 
-- Explore the **Sources** tab
-  - What sources can we see?
+## Resources
 
-- Explore the **Tests** Tab
-  - Did we run the right test? Which tests were missing? Why?
+With dbt Explorer, you can view your project's resources (such as models, tests, and metrics), their lineage, and model consumption to gain a better understanding of its latest production state. Navigate and manage your projects within dbt Cloud to help you and other data developers, analysts, and consumers discover and leverage your dbt resources.
+
+### Hands-On
+- Explore the Model tab 
+  - Pick a model. What’s its row count?
+  - Use the test results drop down to see if  this model’s tests passed. What other models does it depend on?
+- Explore the Tests Tab
+  - What tests do we see? Which tests have warnings? Failures?
+- Explore the Sources tab
+  - What sources can we see? Which sources have stale data? Which sources have fresh data?
+- Explore Exposures 
+  - Use the lineage graph to find an exposure. Which  models and metrics does the Exposure reference?
 
-- Explore **Exposures** 
-  - Check Quality and where they came from
  
 ## Lineage
 
@@ -74,19 +83,14 @@ dbt Explorer provides a visualization of your project’s <Term id="dag"/> that
  <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_advanced_search.png" width="100%" title="dbt Explorer's advanced search feature" />
 
 ### Hands-On
-1. On the left hand side, click on the company and ensure you're in the **Overview Project details** section → Next to **Overview** → Select **View Lineage**.
-
-2. Select a mart model and select everything downstream.
-   - Which models depend on models from another project?
-   - Click on the other project's lineage.
-
-3. Explore lenses and find table materializations in your current project.
-   - Which are the biggest view clusters?
-
-4. Experiment with different lenses, such as **Model layer**, **Test status**, **Resource type**, and so on.
-
-5. Drill down on a node and explore the **Column Lineage** and its evolution.
-   - Expand each column's full lineage.
+- Explore Project-Level Lineage
+  - Pick a model and review its upstream and downstream dependencies
+  - Which sources does this model depend on? Which models depend on this model?
+- Explore Lenses
+  - Apply the Test Status Lenses. Which models passed tests? Which had warnings?
+  - Explore different lenses (Model Layer, Materialization Type, Resource). What information do you see?
+- Explore Column-Level Lineage 
+  - Navigate to the that model’s Model Resource page and explore the primary key column’s Column-Level Lineage
 
 ## Multi-project
 Use dbt Explorer to gain a deeper understanding of *all* of you dbt Cloud projects with its [multi-project capabilities](/docs/collaborate/explore-multiple-projects). 
@@ -95,13 +99,17 @@ Use dbt Explorer to gain a deeper understanding of *all* of you dbt Cloud projec
 - Explore column-level lineage across projects.
 
 ### Hands-On
-- Identify which models in the project are public and being referenced by another project.
-- Switch between the lineage graphs of two different projects and explore the available assets.
-  - What sources are visible?
-- Use the multi-project column-level lineage to locate a column that exists in models across multiple projects.
+- Filter the Platform Project’s Project-Level Lineage for Public models using the access:public filter
+  - Make a note of which models are referenced by the analytics project.
+- Explore the Analytics Project’s lineage
+  - Choose a model in the Platform project referenced by the Analytics project. Look at the multi-project column level lineage of its primary key column.
+  - Open the Analytics project’s lineage graph. Which models does it reference? 
+
 
 ## Project recommendations
-Project recommendations suggests project improvements and provides insight into how you can create a better-documented, better-tested, and better-built dbt project.
+- Review your project recommendations and choose one improvement to implement. Find a project recommendation saying that a model or column that is not documented. 
+  - From the Model Resource page, click Open in IDE
+  - Edit the file and commit your changes
 
 These recommendations are designed to build trust in your project and reduce confusion.
 

From bbab1373298b86e5b8faabdcf4ab0dd78967637e Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Tue, 1 Oct 2024 16:35:05 -0400
Subject: [PATCH 118/200] Add files via upload

---
 .../img/quickstarts/dbt-cloud/go_to_jobs.png    | Bin 0 -> 88184 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 website/static/img/quickstarts/dbt-cloud/go_to_jobs.png

diff --git a/website/static/img/quickstarts/dbt-cloud/go_to_jobs.png b/website/static/img/quickstarts/dbt-cloud/go_to_jobs.png
new file mode 100644
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From f35127b63e6a2171ae9d95d6e7a6929bb5147ef2 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Tue, 1 Oct 2024 16:36:40 -0400
Subject: [PATCH 119/200] Add files via upload

---
 .../img/quickstarts/dbt-cloud/run_job.png       | Bin 0 -> 46060 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 website/static/img/quickstarts/dbt-cloud/run_job.png

diff --git a/website/static/img/quickstarts/dbt-cloud/run_job.png b/website/static/img/quickstarts/dbt-cloud/run_job.png
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From ebe612a30150aaf14978b1c82b0be387aef5520c Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Tue, 1 Oct 2024 16:39:58 -0400
Subject: [PATCH 120/200] Update explorer-qs.md

add images for clarity when running jobs
---
 website/docs/guides/explorer-qs.md | 13 ++++++++-----
 1 file changed, 8 insertions(+), 5 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index b15fa6cd76b..4a85b3a20cf 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -37,6 +37,10 @@ Now we’ll be creating your dbt Cloud account and connecting it to a data wareh
 4. Use the passcode provided by the workshop facilitator.
 5. Agree to the terms of service and click the **Complete Registration** button.
 6. Wait about 30 seconds, you’ll be in the dbt Cloud project for this course and already connected to a data warehouse.
+7. Go to the Deploy tab and select Jobs from the dropdown menu. Run each job you see by clicking on the job and then selecting 'Run'.
+ <Lightbox src="/img/quickstarts/dbt-cloud/go_to_jobs.png" width="100%" title="Click on the Jobs tab" />
+ <Lightbox src="/img/quickstarts/dbt-cloud/run_job.png" width="100%" title="Run the jobs" />
+   
 
 ## Performance
 <Lightbox src="/img/quickstarts/dbt-cloud/explorer_performance_tab.png" width="100%" title="dbt Explorer performance tab" />
@@ -99,7 +103,7 @@ Use dbt Explorer to gain a deeper understanding of *all* of you dbt Cloud projec
 - Explore column-level lineage across projects.
 
 ### Hands-On
-- Filter the Platform Project’s Project-Level Lineage for Public models using the access:public filter
+- In the lineage graph, filter the Platform Project’s Project-Level Lineage for Public models using the access:public filter
   - Make a note of which models are referenced by the analytics project.
 - Explore the Analytics Project’s lineage
   - Choose a model in the Platform project referenced by the Analytics project. Look at the multi-project column level lineage of its primary key column.
@@ -107,9 +111,6 @@ Use dbt Explorer to gain a deeper understanding of *all* of you dbt Cloud projec
 
 
 ## Project recommendations
-- Review your project recommendations and choose one improvement to implement. Find a project recommendation saying that a model or column that is not documented. 
-  - From the Model Resource page, click Open in IDE
-  - Edit the file and commit your changes
 
 These recommendations are designed to build trust in your project and reduce confusion.
 
@@ -118,7 +119,9 @@ To learn more about the specific suggestions and the reasons behind them, check
 <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_project_recs.png" width="80%" title="dbt Explorer's project recommendation tab" />
 
 ### Hands-On
-- Review your project recommendations and choose one improvement to implement (such as adding a description to a primary key that’s missing one).
+- Review your project recommendations and choose one improvement to implement. Find a project recommendation saying that a model or column that is not documented. 
+  - From the Model Resource page, click Open in IDE
+  - Edit the file and commit your changes
 
 ## What's next
 

From 6de9454295fa73ddf2567ef46e554504dc67a90d Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 1 Oct 2024 21:42:33 +0100
Subject: [PATCH 121/200] Update release-notes.md

---
 website/docs/docs/dbt-versions/release-notes.md | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index d9f71121c8e..5c160ac5d93 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -18,11 +18,14 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 
 \* The official release date for this new format of release notes is May 15th, 2024. Historical release notes for prior dates may not reflect all available features released earlier this year or their tenancy availability.
 
-## September 2024
+## October 2024
 
 - **New**: In dbt Cloud Versionless, [Snapshots](/docs/build/snapshots) have been updated to use YAML configuration files instead of SQL snapshot blocks. This new feature simplifies snapshot management and improves performance, and will soon be released in dbt Core 1.9.
   - Who does this affect? New user on Versionless can define snapshots using the new YAML specification. Users upgrading to Versionless who use snapshots can keep their existing configuration or can choose to migrate their snapshot definitions to YAML. 
   - Users on dbt 1.8 and earlier: No action is needed; existing snapshots will continue to work as before. However, we recommend upgrading to Versionless to take advantage of the new snapshot features.
+
+## September 2024
+
 - **Enhancement**: You can now run [Semantic Layer commands](/docs/build/metricflow-commands) commands in the [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud). The supported commands are `dbt sl list`, `dbt sl list metrics`, `dbt sl list dimension-values`, `dbt sl list saved-queries`, `dbt sl query`, `dbt sl list dimensions`, `dbt sl list entities`, and `dbt sl validate`. 
 - **New**: Microsoft Excel, a dbt Semantic Layer integration, is now generally available. The integration allows you to connect to Microsoft Excel to query metrics and collaborate with your team. Available for [Excel Desktop](https://pages.store.office.com/addinsinstallpage.aspx?assetid=WA200007100&rs=en-US&correlationId=4132ecd1-425d-982d-efb4-de94ebc83f26) or [Excel Online](https://pages.store.office.com/addinsinstallpage.aspx?assetid=WA200007100&rs=en-US&correlationid=4132ecd1-425d-982d-efb4-de94ebc83f26&isWac=True). For more information, refer to [Microsoft Excel](/docs/cloud-integrations/semantic-layer/excel).
 - **New**: [Data health tile](/docs/collaborate/data-tile) is now generally available in dbt Explorer. Data health tiles provide a quick at-a-glance view of your data quality, highlighting potential issues in your data. You can embed these tiles in your dashboards to quickly identify and address data quality issues in your dbt project.

From 622bfe0ad21c5a02bcf27ea4f765dcd67a3ece74 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Tue, 1 Oct 2024 16:45:40 -0400
Subject: [PATCH 122/200] Add files via upload

---
 .../dbt-cloud/explorer_models_tab.png          | Bin 0 -> 291684 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 website/static/img/quickstarts/dbt-cloud/explorer_models_tab.png

diff --git a/website/static/img/quickstarts/dbt-cloud/explorer_models_tab.png b/website/static/img/quickstarts/dbt-cloud/explorer_models_tab.png
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HcmV?d00001


From 45e17a8aa83dd141d2272888e39bce5867847e73 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Tue, 1 Oct 2024 16:46:49 -0400
Subject: [PATCH 123/200] Update explorer-qs.md

added clarifying image
---
 website/docs/guides/explorer-qs.md | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index 4a85b3a20cf..c99e9b847c1 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -43,7 +43,7 @@ Now we’ll be creating your dbt Cloud account and connecting it to a data wareh
    
 
 ## Performance
-<Lightbox src="/img/quickstarts/dbt-cloud/explorer_performance_tab.png" width="100%" title="dbt Explorer performance tab" />
+<Lightbox src="/img/quickstarts/dbt-cloud/explorer_performance_tab.png" width="100%" title="dbt Explorer's Performance tab" />
 dbt Explorer will show you your project's most executed models, longest model executions, most failed models and tests, and most consumed models all in one place: The performance tab.
 
 ### Hands-On
@@ -59,6 +59,8 @@ dbt Explorer will show you your project's most executed models, longest model ex
 
 With dbt Explorer, you can view your project's resources (such as models, tests, and metrics), their lineage, and model consumption to gain a better understanding of its latest production state. Navigate and manage your projects within dbt Cloud to help you and other data developers, analysts, and consumers discover and leverage your dbt resources.
 
+<Lightbox src="/img/quickstarts/dbt-cloud/explorer_performance_tab.png" width="100%" title="dbt Explorer's Models tab" />
+
 ### Hands-On
 - Explore the Model tab 
   - Pick a model. What’s its row count?
@@ -114,7 +116,7 @@ Use dbt Explorer to gain a deeper understanding of *all* of you dbt Cloud projec
 
 These recommendations are designed to build trust in your project and reduce confusion.
 
-To learn more about the specific suggestions and the reasons behind them, check out the [Project recommendations page](/docs/collaborate/project-recommendations).
+To learn more about the specific suggestions and the reasons behind them, check out [our docs](/docs/collaborate/project-recommendations).
 
 <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_project_recs.png" width="80%" title="dbt Explorer's project recommendation tab" />
 

From 8f229e1e589d54f3dc782b3e33c855800ba63d23 Mon Sep 17 00:00:00 2001
From: MichelleBaird-DBT <108753201+MichelleBaird-DBT@users.noreply.github.com>
Date: Tue, 1 Oct 2024 17:06:30 -0400
Subject: [PATCH 124/200] Update explorer-qs.md

fixed performance hands on
---
 website/docs/guides/explorer-qs.md | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index c99e9b847c1..c771e2af328 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -121,9 +121,7 @@ To learn more about the specific suggestions and the reasons behind them, check
 <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_project_recs.png" width="80%" title="dbt Explorer's project recommendation tab" />
 
 ### Hands-On
-- Review your project recommendations and choose one improvement to implement. Find a project recommendation saying that a model or column that is not documented. 
-  - From the Model Resource page, click Open in IDE
-  - Edit the file and commit your changes
+- Review your project recommendations. Find the project recommendation for the model agg_daily_returned_orders. Add documentation to this model in the aggregates.yml file.
 
 ## What's next
 

From 405130fefbc81d31d90f6982a3019eb995b95f8a Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 2 Oct 2024 12:21:03 +0100
Subject: [PATCH 125/200] Update release-notes.md

---
 website/docs/docs/dbt-versions/release-notes.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index 427ff790656..b72acc5cb6c 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -23,10 +23,10 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 - **New**: The dbt Semantic Layer supports custom calendar configurations in MetricFlow that allow you to query data using non-standard time periods like `fiscal_year` or `retail_month`. Refer to [custom calendar](/docs/build/metricflow-time-spine#custom-calendar) to learn how to define these custom granularities in your MetricFlow timespine YAML configuration.
 - **New:** dbt Explorer now includes trust signal icons, which is currently available as a [Preview](/docs/dbt-versions/product-lifecycles#dbt-cloud). Trust signals offer a quick, at-a-glance view of data health when browsing your dbt models in Explorer. These icons indicate whether a model is **Healthy**, **Caution**, **Degraded**, or **Unknown**. For accurate health data, ensure the resource is up-to-date and has had a recent job run. Refer to [Trust signals](/docs/collaborate/explore-projects#trust-signals-for-resources) for more information. 
 - **New:** Auto exposures are now available in Preview in dbt Cloud. Auto-exposures helps users understand how their models are used in downstream analytics tools to inform investments and reduce incidents. It imports and auto-generates exposures based on Tableau dashboards, with user-defined curation. To learn more, refer to [Auto exposures](/docs/collaborate/auto-exposures).
-- **New**: Use the new recommended syntax for [defining `foreign_key` constraints](/reference/resource-properties/constraints) using `refs`, available in dbt Cloud Versionless. This will soon be released in dbt Core v1.9. This new syntax will capture dependencies and works across different environments.
 
 ## September 2024
 
+- **New**: Use the new recommended syntax for [defining `foreign_key` constraints](/reference/resource-properties/constraints) using `refs`, available in dbt Cloud Versionless. This will soon be released in dbt Core v1.9. This new syntax will capture dependencies and works across different environments.
 - **Enhancement**: You can now run [Semantic Layer commands](/docs/build/metricflow-commands) commands in the [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud). The supported commands are `dbt sl list`, `dbt sl list metrics`, `dbt sl list dimension-values`, `dbt sl list saved-queries`, `dbt sl query`, `dbt sl list dimensions`, `dbt sl list entities`, and `dbt sl validate`. 
 - **New**: Microsoft Excel, a dbt Semantic Layer integration, is now generally available. The integration allows you to connect to Microsoft Excel to query metrics and collaborate with your team. Available for [Excel Desktop](https://pages.store.office.com/addinsinstallpage.aspx?assetid=WA200007100&rs=en-US&correlationId=4132ecd1-425d-982d-efb4-de94ebc83f26) or [Excel Online](https://pages.store.office.com/addinsinstallpage.aspx?assetid=WA200007100&rs=en-US&correlationid=4132ecd1-425d-982d-efb4-de94ebc83f26&isWac=True). For more information, refer to [Microsoft Excel](/docs/cloud-integrations/semantic-layer/excel).
 - **New**: [Data health tile](/docs/collaborate/data-tile) is now generally available in dbt Explorer. Data health tiles provide a quick at-a-glance view of your data quality, highlighting potential issues in your data. You can embed these tiles in your dashboards to quickly identify and address data quality issues in your dbt project.

From 6f286fea5f7ec2ae8921793d94d4e5b8242d5a39 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 2 Oct 2024 15:47:50 +0100
Subject: [PATCH 126/200] Update explorer-qs.md

---
 website/docs/guides/explorer-qs.md | 26 +++++++++++++-------------
 1 file changed, 13 insertions(+), 13 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index c771e2af328..919b14259aa 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -31,15 +31,15 @@ In this guide, you will learn how to:
 
 ## Setup
 Now we’ll be creating your dbt Cloud account and connecting it to a data warehouse. 
-1. Go to this URL (Sign out if you're already logged in.):  https://cloud.getdbt.com/coalesce-workshop-signup
+1. Go to this URL (sign out if you're already logged in.):  https://cloud.getdbt.com/coalesce-workshop-signup
 2. Enter your first name and last name.
 3. Select the **Exploring a dbt Mesh implementation with dbt Explorer** option.
 4. Use the passcode provided by the workshop facilitator.
 5. Agree to the terms of service and click the **Complete Registration** button.
 6. Wait about 30 seconds, you’ll be in the dbt Cloud project for this course and already connected to a data warehouse.
 7. Go to the Deploy tab and select Jobs from the dropdown menu. Run each job you see by clicking on the job and then selecting 'Run'.
- <Lightbox src="/img/quickstarts/dbt-cloud/go_to_jobs.png" width="100%" title="Click on the Jobs tab" />
- <Lightbox src="/img/quickstarts/dbt-cloud/run_job.png" width="100%" title="Run the jobs" />
+ <Lightbox src="/img/quickstarts/dbt-cloud/go_to_jobs.png" width="80%" title="Click on the Jobs tab" />
+ <Lightbox src="/img/quickstarts/dbt-cloud/run_job.png" width="80%" title="Run the jobs" />
    
 
 ## Performance
@@ -48,7 +48,7 @@ dbt Explorer will show you your project's most executed models, longest model ex
 
 ### Hands-On
 - Trigger the Daily Prod job to run again
-- Explore the Performance tab on the Project Details page
+- Explore the **Performance** tab on the **Project details** page
   - Which model took the longest over the last two weeks? Over the last month? 
   - Which model failed the most tests? 
   - Click on the model that took the longest to run in the Longest model executions graph
@@ -65,9 +65,9 @@ With dbt Explorer, you can view your project's resources (such as models, tests,
 - Explore the Model tab 
   - Pick a model. What’s its row count?
   - Use the test results drop down to see if  this model’s tests passed. What other models does it depend on?
-- Explore the Tests Tab
+- Explore the **Tests** tab
   - What tests do we see? Which tests have warnings? Failures?
-- Explore the Sources tab
+- Explore the **Sources** tab
   - What sources can we see? Which sources have stale data? Which sources have fresh data?
 - Explore Exposures 
   - Use the lineage graph to find an exposure. Which  models and metrics does the Exposure reference?
@@ -83,32 +83,32 @@ dbt Explorer provides a visualization of your project’s <Term id="dag"/> that
 
  <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_dag.png" width="100%" title="dbt Explorer's lineage graph" />
   
-- Use the [advanced search](/docs/collaborate/explore-projects#search-resources) feature to locate resources in your project. Perform hard searches and keyword searches. All resource names, column names, resources descriptions, warehouse relations, and code matching your search criteria will appear in the center of the page. Apply filters to fully refine your search
+- Use the [advanced search](/docs/collaborate/explore-projects#search-resources) feature to locate resources in your project. Perform hard searches and keyword searches. All resource names, column names, resource descriptions, warehouse relations, and code matching your search criteria will appear in the center of the page. Apply filters to fully refine your search
 - When searching for a column name, the results show all relational nodes containing that column in their schemas. 
 
  <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_advanced_search.png" width="100%" title="dbt Explorer's advanced search feature" />
 
 ### Hands-On
-- Explore Project-Level Lineage
+- Explore **Project-Level lineage**
   - Pick a model and review its upstream and downstream dependencies
   - Which sources does this model depend on? Which models depend on this model?
 - Explore Lenses
   - Apply the Test Status Lenses. Which models passed tests? Which had warnings?
   - Explore different lenses (Model Layer, Materialization Type, Resource). What information do you see?
-- Explore Column-Level Lineage 
-  - Navigate to the that model’s Model Resource page and explore the primary key column’s Column-Level Lineage
+- Explore **Column-Level Lineage**
+  - Navigate to the model’s **Model resource** page and explore the primary key column’s **Column-Level Lineage**
 
 ## Multi-project
-Use dbt Explorer to gain a deeper understanding of *all* of you dbt Cloud projects with its [multi-project capabilities](/docs/collaborate/explore-multiple-projects). 
+Use dbt Explorer to gain a deeper understanding of *all* your dbt Cloud projects with its [multi-project capabilities](/docs/collaborate/explore-multiple-projects). 
 - See the number of public, protected, and private models, as well as metrics for each project.
 - View cross-project lineage and navigate between individual projects’ lineage graphs.
 - Explore column-level lineage across projects.
 
 ### Hands-On
-- In the lineage graph, filter the Platform Project’s Project-Level Lineage for Public models using the access:public filter
+- In the lineage graph, filter the Platform Project’s Project-Level Lineage for Public models using the `access:public` filter
   - Make a note of which models are referenced by the analytics project.
 - Explore the Analytics Project’s lineage
-  - Choose a model in the Platform project referenced by the Analytics project. Look at the multi-project column level lineage of its primary key column.
+  - Choose a model in the Platform project referenced by the Analytics project. Look at the multi-project column-level lineage of its primary key column.
   - Open the Analytics project’s lineage graph. Which models does it reference? 
 
 

From 287968e621f76a2d7c45f68bdbac9aef628f15c5 Mon Sep 17 00:00:00 2001
From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com>
Date: Wed, 2 Oct 2024 12:01:12 -0400
Subject: [PATCH 127/200] Fixing syntax

---
 website/docs/reference/resource-configs/snowflake-configs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md
index a8cc06ece9f..b0a0ca18bea 100644
--- a/website/docs/reference/resource-configs/snowflake-configs.md
+++ b/website/docs/reference/resource-configs/snowflake-configs.md
@@ -71,7 +71,7 @@ Snowflake's `CREATE ICEBERG TABLE` DDL requires that a `base_location` be provid
 #### Base Location Subpath
 We recommend using dbt's auto-generated `base_location`. However, if you need to customize the resulting `base_location`, dbt allows users to configure a `base_location_subpath`. When specified, the subpath concatenates to the end of the previously described pattern for `base_location` string generation.
 
-For example, `config(base_location_subpath="prod")` will generate a `base_location` of the form `_dbt/{SCHEMA_NAME}/{MODEL_NAME}`.
+For example, `config(base_location_subpath="prod")` will generate a `base_location` of the form `_dbt/{SCHEMA_NAME}/{MODEL_NAME}/prod/`.
 
 A theoretical (but not recommended) use case is re-using an `EXTERNAL VOLUME` while maintaining isolation across development and production environments. We recommend against this as storage permissions should configured on the external volume and underlying storage, not paths that any analytics engineer can modify.
 

From 3fe3e4d5c154684f6266e7b8f95b07cf3f739237 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 2 Oct 2024 17:22:56 +0100
Subject: [PATCH 128/200] Clarify users should run producer project in staging
 to resolve cross project ref

Clarify users should run producer project in staging to resolve cross project ref

Resolves #5799
---
 website/docs/docs/collaborate/govern/project-dependencies.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/website/docs/docs/collaborate/govern/project-dependencies.md b/website/docs/docs/collaborate/govern/project-dependencies.md
index 6a84a04e109..fbeb6d5bf6a 100644
--- a/website/docs/docs/collaborate/govern/project-dependencies.md
+++ b/website/docs/docs/collaborate/govern/project-dependencies.md
@@ -102,7 +102,9 @@ For more guidance on how to use dbt Mesh, refer to the dedicated [dbt Mesh guide
 
 ### Safeguarding production data with staging environments
 
-When working in a Development environment, cross-project `ref`s normally resolve to the Production environment of the project. However, to protect production data, set up a [Staging deployment environment](/docs/deploy/deploy-environments#staging-environment) within your projects. With a staging environment integrated into the project, any references from external projects during development workflows resolve to the Staging environment. This adds a layer of security between your Deployment and Production environments by limiting access to production data.
+When working in a Development environment, cross-project `ref`s normally resolve to the Production environment of the project. However, to protect production data, set up a [Staging deployment environment](/docs/deploy/deploy-environments#staging-environment) within your projects. 
+
+With a staging environment integrated into the project, dbt Mesh automatically fetches public model information from the producer’s staging environment if the consumer is also in staging. Similarly, if the consumer is in production, dbt Mesh fetches from the producer’s production environment. This ensures consistency between environments and adds a layer of security by preventing access to production data during development workflows.
 
 Read [Why use a staging environment](/docs/deploy/deploy-environments#why-use-a-staging-environment) for more information about the benefits. 
 

From f626ab4d81e4a3ed5e42373b7dec1a9d39843d8a Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 2 Oct 2024 17:29:04 +0100
Subject: [PATCH 129/200] Update
 website/docs/docs/build/metricflow-time-spine.md

---
 website/docs/docs/build/metricflow-time-spine.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md
index 890e41b4482..2965b623f13 100644
--- a/website/docs/docs/build/metricflow-time-spine.md
+++ b/website/docs/docs/build/metricflow-time-spine.md
@@ -298,7 +298,7 @@ and date_hour < dateadd(day, 30, current_timestamp())
 </File>
 
 
-## Custom calendar
+## Custom calendar <Lifecycle status="Preview"/>
 
 <VersionBlock lastVersion="1.8">
 

From 60eef895b06c0b81d456d13102b5fb59524ada65 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 2 Oct 2024 17:29:34 +0100
Subject: [PATCH 130/200] Update
 website/docs/docs/dbt-versions/release-notes.md

---
 website/docs/docs/dbt-versions/release-notes.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index 321cebc45da..c7b086c9fb8 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -20,7 +20,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 
 ## October 2024
 
-- **New**: The dbt Semantic Layer supports custom calendar configurations in MetricFlow that allow you to query data using non-standard time periods like `fiscal_year` or `retail_month`. Refer to [custom calendar](/docs/build/metricflow-time-spine#custom-calendar) to learn how to define these custom granularities in your MetricFlow timespine YAML configuration.
+- **New**: The dbt Semantic Layer supports custom calendar configurations in MetricFlow, available in Preview. Custom calendar configurations allow you to query data using non-standard time periods like `fiscal_year` or `retail_month`. Refer to [custom calendar](/docs/build/metricflow-time-spine#custom-calendar) to learn how to define these custom granularities in your MetricFlow timespine YAML configuration.
 - **Enhancement**: In dbt Cloud Versionless, snapshots defined in SQL files can now use `config` defined in `schema.yml` YAML files. This update resolves the previous limitation that required snapshot properties to be defined exclusively in `dbt_project.yml` and/or a `config()` block within the SQL file. This enhancement will be included in the upcoming dbt Core v1.9 release.
 - **New:** dbt Explorer now includes trust signal icons, which is currently available as a [Preview](/docs/dbt-versions/product-lifecycles#dbt-cloud). Trust signals offer a quick, at-a-glance view of data health when browsing your dbt models in Explorer. These icons indicate whether a model is **Healthy**, **Caution**, **Degraded**, or **Unknown**. For accurate health data, ensure the resource is up-to-date and has had a recent job run. Refer to [Trust signals](/docs/collaborate/explore-projects#trust-signals-for-resources) for more information. 
 - **New:** Auto exposures are now available in Preview in dbt Cloud. Auto-exposures helps users understand how their models are used in downstream analytics tools to inform investments and reduce incidents. It imports and auto-generates exposures based on Tableau dashboards, with user-defined curation. To learn more, refer to [Auto exposures](/docs/collaborate/auto-exposures).

From 2d83283d47eab4918ad859ff1018bed8d917077c Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 2 Oct 2024 17:30:33 +0100
Subject: [PATCH 131/200] Update
 website/docs/docs/collaborate/govern/project-dependencies.md

Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com>
---
 website/docs/docs/collaborate/govern/project-dependencies.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/collaborate/govern/project-dependencies.md b/website/docs/docs/collaborate/govern/project-dependencies.md
index fbeb6d5bf6a..2e73eee028b 100644
--- a/website/docs/docs/collaborate/govern/project-dependencies.md
+++ b/website/docs/docs/collaborate/govern/project-dependencies.md
@@ -104,7 +104,7 @@ For more guidance on how to use dbt Mesh, refer to the dedicated [dbt Mesh guide
 
 When working in a Development environment, cross-project `ref`s normally resolve to the Production environment of the project. However, to protect production data, set up a [Staging deployment environment](/docs/deploy/deploy-environments#staging-environment) within your projects. 
 
-With a staging environment integrated into the project, dbt Mesh automatically fetches public model information from the producer’s staging environment if the consumer is also in staging. Similarly, if the consumer is in production, dbt Mesh fetches from the producer’s production environment. This ensures consistency between environments and adds a layer of security by preventing access to production data during development workflows.
+With a staging environment integrated into the project, dbt Mesh automatically fetches public model information from the producer’s staging environment if the consumer is also in staging. Similarly, dbt Mesh fetches from the producer’s production environment if the consumer is in production. This ensures consistency between environments and adds a layer of security by preventing access to production data during development workflows.
 
 Read [Why use a staging environment](/docs/deploy/deploy-environments#why-use-a-staging-environment) for more information about the benefits. 
 

From 29ceb1d0871420c9ebf206b5c1a87ac4b6c33a66 Mon Sep 17 00:00:00 2001
From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com>
Date: Wed, 2 Oct 2024 12:43:26 -0400
Subject: [PATCH 132/200] Moving adapter behavior changes (#6151)

## What are you changing in this pull request and why?

To reduce the risk of the behavior changes page becoming unwieldy, we're
moving the adapter-specific behavior changes to their own folder, so
each adapter's change will have its own page.

This is light on content now, with only a single adapter, but it is
expected to grow quickly.

## Checklist
- [ ] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [ ] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [ ] I have added checklist item(s) to this list for anything anything
that needs to happen before this PR is merged, such as "needs technical
review" or "change base branch."
<!--
PRE-RELEASE VERSION OF dbt (if so, uncomment):
- [ ] Add a note to the prerelease version [Migration
Guide](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/core-upgrade)
-->
<!--
ADDING OR REMOVING PAGES (if so, uncomment):
- [ ] Add/remove page in `website/sidebars.js`
- [ ] Provide a unique filename for new pages
- [ ] Add an entry for deleted pages in `website/vercel.json`
- [ ] Run link testing locally with `npm run build` to update the links
that point to deleted pages
-->

---------

Co-authored-by: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com>
Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com>
---
 .../adapter-behavior-changes.md               | 23 +++++++++++++++++++
 .../global-configs/behavior-changes.md        |  7 ------
 .../global-configs/redshift-changes.md        | 11 +++++++++
 website/sidebars.js                           |  8 +++++++
 4 files changed, 42 insertions(+), 7 deletions(-)
 create mode 100644 website/docs/reference/global-configs/adapter-behavior-changes.md
 create mode 100644 website/docs/reference/global-configs/redshift-changes.md

diff --git a/website/docs/reference/global-configs/adapter-behavior-changes.md b/website/docs/reference/global-configs/adapter-behavior-changes.md
new file mode 100644
index 00000000000..bd0ba9f7404
--- /dev/null
+++ b/website/docs/reference/global-configs/adapter-behavior-changes.md
@@ -0,0 +1,23 @@
+---
+title: "About adapter-specific behavior changes"
+id: "adapter-behavior-changes"
+sidebar_label: "Adapter behavior changes"
+description: "Adapter-specific behavior changes"
+hide_table_of_contents: true
+pagination_next: null
+pagination_prev: null
+---
+
+
+Some adapters can display behavior changes when certain flags are enabled. The following sections contain details about these adapter-specific behavior changes. 
+
+
+<div className="grid--3-col">
+
+<Card
+    title="Redshift"
+    body="Behavior changes for the Amazon Redshift adapter."
+    link="reference/global-configs/redshift-changes"
+    icon="redshift"/>
+
+</div>
\ No newline at end of file
diff --git a/website/docs/reference/global-configs/behavior-changes.md b/website/docs/reference/global-configs/behavior-changes.md
index 8e9e93b8488..4ab4a0f20f4 100644
--- a/website/docs/reference/global-configs/behavior-changes.md
+++ b/website/docs/reference/global-configs/behavior-changes.md
@@ -129,10 +129,3 @@ on-run-start:
 ```
 </File>
 
-## Adapter-specific behavior changes
-Some adapters may show behavior changes when certain flags are enabled. Refer to the following sections for each respective adapter.
-### [Redshift] restrict_direct_pg_catalog_access
-
-Originally, the `dbt-redshift` adapter was built on top of the `dbt-postgres` adapter and used Postgres tables for metadata access. With this flag enabled, the adapter will use the Redshift API (through the Python client) if available, or query Redshift's `information_schema` tables instead of using `pg_` tables.
-
-While we don't expect any user-noticeable behavior changes due to this change, out of caution we are gating it behind a behavior-change flag and encouraging users to test it before it becomes the default for everyone.
diff --git a/website/docs/reference/global-configs/redshift-changes.md b/website/docs/reference/global-configs/redshift-changes.md
new file mode 100644
index 00000000000..2ba7c0f165f
--- /dev/null
+++ b/website/docs/reference/global-configs/redshift-changes.md
@@ -0,0 +1,11 @@
+---
+title: "Amazon Redshift adapter behavior changes"
+id: "redshift-changes"
+sidebar: "Redshift"
+---
+
+## The restrict_direct_pg_catalog_access flag
+
+Originally, the `dbt-redshift` adapter was built on top of the `dbt-postgres` adapter and used Postgres tables for metadata access. When this flag is enabled, the adapter uses the Redshift API (through the Python client) if available, or queries Redshift's `information_schema` tables instead of using the `pg_` tables.
+
+While you shouldn't notice any behavior changes due to this change, however, to be cautious dbt Labs is gating it behind a behavior-change flag and encouraging you to test it before it becoming the default.
diff --git a/website/sidebars.js b/website/sidebars.js
index 9c1d5d2b5c8..e55f89413a3 100644
--- a/website/sidebars.js
+++ b/website/sidebars.js
@@ -1095,6 +1095,14 @@ const sidebarSettings = {
           items: [
             "reference/global-configs/about-global-configs",
             "reference/global-configs/behavior-changes",
+            { type: "category",
+              label: "Adapter behavior changes",
+              link: { type: "doc", id: "reference/global-configs/adapter-behavior-changes" },
+              items: [
+                "reference/global-configs/adapter-behavior-changes",
+                "reference/global-configs/redshift-changes",
+              ],
+            },
             {
               type: "category",
               label: "Setting flags",

From a735baebb4da581b8f23b181e324912c2a6d9c47 Mon Sep 17 00:00:00 2001
From: Kyle Coapman <kyle.d.coapman@gmail.com>
Date: Wed, 2 Oct 2024 13:57:48 -0400
Subject: [PATCH 133/200] coap tweaks in final review

---
 website/docs/guides/explorer-qs.md | 26 +++++++++++++++-----------
 1 file changed, 15 insertions(+), 11 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index 919b14259aa..94424a0f09f 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -31,13 +31,14 @@ In this guide, you will learn how to:
 
 ## Setup
 Now we’ll be creating your dbt Cloud account and connecting it to a data warehouse. 
-1. Go to this URL (sign out if you're already logged in.):  https://cloud.getdbt.com/coalesce-workshop-signup
+1. Go to this URL (sign out if you're already logged in):  https://cloud.getdbt.com/coalesce-workshop-signup
 2. Enter your first name and last name.
 3. Select the **Exploring a dbt Mesh implementation with dbt Explorer** option.
 4. Use the passcode provided by the workshop facilitator.
 5. Agree to the terms of service and click the **Complete Registration** button.
-6. Wait about 30 seconds, you’ll be in the dbt Cloud project for this course and already connected to a data warehouse.
-7. Go to the Deploy tab and select Jobs from the dropdown menu. Run each job you see by clicking on the job and then selecting 'Run'.
+6. Wait about 30 seconds, you’ll be in the dbt Cloud account for this workshop and already connected to a data warehouse.
+7. Toggle into the Platform project. Go to the Deploy tab and select Jobs from the dropdown menu. 
+8. Run each job you see by clicking on the job and then selecting 'Run'. This will run the upstream project job in both a production and staging environment.
  <Lightbox src="/img/quickstarts/dbt-cloud/go_to_jobs.png" width="80%" title="Click on the Jobs tab" />
  <Lightbox src="/img/quickstarts/dbt-cloud/run_job.png" width="80%" title="Run the jobs" />
    
@@ -51,7 +52,7 @@ dbt Explorer will show you your project's most executed models, longest model ex
 - Explore the **Performance** tab on the **Project details** page
   - Which model took the longest over the last two weeks? Over the last month? 
   - Which model failed the most tests? 
-  - Click on the model that took the longest to run in the Longest model executions graph
+  - Click on the model that took the longest to run in the _Longest model executions_ graph
     - What is the average duration time over the last two weeks? Over the last month?
     - How often is the model being built? What is the Model Test Failure Rate?
 
@@ -69,9 +70,8 @@ With dbt Explorer, you can view your project's resources (such as models, tests,
   - What tests do we see? Which tests have warnings? Failures?
 - Explore the **Sources** tab
   - What sources can we see? Which sources have stale data? Which sources have fresh data?
-- Explore Exposures 
+- Explore Exposures
   - Use the lineage graph to find an exposure. Which  models and metrics does the Exposure reference?
-
  
 ## Lineage
 
@@ -83,7 +83,10 @@ dbt Explorer provides a visualization of your project’s <Term id="dag"/> that
 
  <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_dag.png" width="100%" title="dbt Explorer's lineage graph" />
   
-- Use the [advanced search](/docs/collaborate/explore-projects#search-resources) feature to locate resources in your project. Perform hard searches and keyword searches. All resource names, column names, resource descriptions, warehouse relations, and code matching your search criteria will appear in the center of the page. Apply filters to fully refine your search
+- Use the [advanced search](/docs/collaborate/explore-projects#search-resources) feature to locate resources in your project. 
+  - Perform hard searches and keyword searches. 
+  - All resource names, column names, resource descriptions, warehouse relations, and code matching your search criteria will appear in the center of the page. 
+  - Apply filters to fully refine your search.
 - When searching for a column name, the results show all relational nodes containing that column in their schemas. 
 
  <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_advanced_search.png" width="100%" title="dbt Explorer's advanced search feature" />
@@ -99,7 +102,7 @@ dbt Explorer provides a visualization of your project’s <Term id="dag"/> that
   - Navigate to the model’s **Model resource** page and explore the primary key column’s **Column-Level Lineage**
 
 ## Multi-project
-Use dbt Explorer to gain a deeper understanding of *all* your dbt Cloud projects with its [multi-project capabilities](/docs/collaborate/explore-multiple-projects). 
+Use dbt Explorer to gain a deeper understanding of *all* your dbt Cloud projects with its [multi-project capabilities](/docs/collaborate/explore-multiple-projects).
 - See the number of public, protected, and private models, as well as metrics for each project.
 - View cross-project lineage and navigate between individual projects’ lineage graphs.
 - Explore column-level lineage across projects.
@@ -108,7 +111,8 @@ Use dbt Explorer to gain a deeper understanding of *all* your dbt Cloud projects
 - In the lineage graph, filter the Platform Project’s Project-Level Lineage for Public models using the `access:public` filter
   - Make a note of which models are referenced by the analytics project.
 - Explore the Analytics Project’s lineage
-  - Choose a model in the Platform project referenced by the Analytics project. Look at the multi-project column-level lineage of its primary key column.
+  - Choose a model in the Platform project referenced by the Analytics project.
+  - Look at the multi-project column-level lineage of its primary key column.
   - Open the Analytics project’s lineage graph. Which models does it reference? 
 
 
@@ -121,7 +125,7 @@ To learn more about the specific suggestions and the reasons behind them, check
 <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_project_recs.png" width="80%" title="dbt Explorer's project recommendation tab" />
 
 ### Hands-On
-- Review your project recommendations. Find the project recommendation for the model agg_daily_returned_orders. Add documentation to this model in the aggregates.yml file.
+- Review your project recommendations. Find the project recommendation for the model `agg_daily_returned_orders`. Add documentation to this model in the aggregates.yml file.
 
 ## What's next
 
@@ -140,7 +144,7 @@ You've learned how to:
 For the next steps, you can check out the [dbt Explorer documentation](/docs/collaborate/explore-projects) and [FAQs](/docs/collaborate/dbt-explorer-faqs) to learn more about how to use dbt Explorer.
 
 Keep an eye out for new features coming out soon, like:
-- More [auto-exposure](/docs/collaborate/auto-exposures) integrations (like PowerBI).
+- More [auto-exposure](/docs/collaborate/auto-exposures) integrations (like PowerBI and Tableau).
 - [Model query history](/docs/collaborate/model-query-history) for additional warehouses (like Redshift and Databricks)
 - Improvements to [data health tiles](/docs/collaborate/data-tile)
 

From 39a9535b0c2a1c7e8f9b7fe4028e6b677599d9c7 Mon Sep 17 00:00:00 2001
From: Kyle Coapman <kyle.d.coapman@gmail.com>
Date: Wed, 2 Oct 2024 14:19:51 -0400
Subject: [PATCH 134/200] tweak image and some copy

---
 website/docs/guides/explorer-qs.md            |   6 ++++--
 .../img/quickstarts/dbt-cloud/run_job.png     | Bin 46060 -> 81501 bytes
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index 94424a0f09f..e36392ca2ad 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -37,8 +37,10 @@ Now we’ll be creating your dbt Cloud account and connecting it to a data wareh
 4. Use the passcode provided by the workshop facilitator.
 5. Agree to the terms of service and click the **Complete Registration** button.
 6. Wait about 30 seconds, you’ll be in the dbt Cloud account for this workshop and already connected to a data warehouse.
-7. Toggle into the Platform project. Go to the Deploy tab and select Jobs from the dropdown menu. 
-8. Run each job you see by clicking on the job and then selecting 'Run'. This will run the upstream project job in both a production and staging environment.
+7. Toggle into the *Platform project*. Go to the Deploy tab and select Jobs from the dropdown menu. 
+8. Run each job you see by clicking on the job and then selecting 'Run'. This will run the *upstream* project job in both a production and staging environment.
+9. Toggle into the *Analytics project*. Go to the Deploy tab and select Jobs from the dropdown menu. 
+10. Run each job you see by clicking on the job and then selecting 'Run'. This will run the *downstream* project job in both a production and staging environment.
  <Lightbox src="/img/quickstarts/dbt-cloud/go_to_jobs.png" width="80%" title="Click on the Jobs tab" />
  <Lightbox src="/img/quickstarts/dbt-cloud/run_job.png" width="80%" title="Run the jobs" />
    
diff --git a/website/static/img/quickstarts/dbt-cloud/run_job.png b/website/static/img/quickstarts/dbt-cloud/run_job.png
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From 6a7d50962cfc1bac288e2fdb4fa50c2ed7fe36ed Mon Sep 17 00:00:00 2001
From: Lesley Greene <46576335+lgreene27@users.noreply.github.com>
Date: Wed, 2 Oct 2024 11:51:07 -0700
Subject: [PATCH 135/200] Update dbt-support.md (#6216)

Removing reference to SA and SD as our account teams have expanded to
include other roles and this is confusing

Removed suggestion that project setup conversations should go to the
account team

## What are you changing in this pull request and why?
<!--
Describe your changes and why you're making them. If related to an open
issue or a pull request on dbt Core or another repository, then link to
them here!

To learn more about the writing conventions used in the dbt Labs docs,
see the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md).
-->

## Checklist
- [x] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [ ] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [ ] I have added checklist item(s) to this list for anything anything
that needs to happen before this PR is merged, such as "needs technical
review" or "change base branch."
<!--
PRE-RELEASE VERSION OF dbt (if so, uncomment):
- [ ] Add a note to the prerelease version [Migration
Guide](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/core-upgrade)
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- [ ] Run link testing locally with `npm run build` to update the links
that point to deleted pages
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---
 website/docs/docs/dbt-support.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/website/docs/docs/dbt-support.md b/website/docs/docs/dbt-support.md
index 07eb715a31c..6f7d2ad9abd 100644
--- a/website/docs/docs/dbt-support.md
+++ b/website/docs/docs/dbt-support.md
@@ -62,7 +62,7 @@ Types of dbt Cloud-related questions our Support team can assist you with, regar
 
 Basic assistance with dbt project troubleshooting.
 Help with errors and issues in macros, models, and dbt Labs' packages.
-For strategic advice, expansion, and project setup, consult Solutions Architect and Sales Director.
+For strategic advice, best practices, or expansion conversations, consult your Account Team.
 
 For customers on a dbt Cloud Enterprise plan, we **also** offer basic assistance in troubleshooting issues with your dbt project:
 - **Something isn't working the way I would expect it to...**
@@ -76,7 +76,7 @@ For customers on a dbt Cloud Enterprise plan, we **also** offer basic assistance
     - `Compilation Error Error reading name_of_folder/name_of_file.yml - Runtime Error Syntax
         error near line 9`
 
-Types of questions you should ask your Solutions Architect and Sales Director:
+Types of questions you should ask your Account Team:
 - How should we think about setting up our dbt projects, environments, and jobs based on our company structure and needs?
 - I want to expand my account! How do I add more people and train them?
 - Here is our data road map for the next year - can we talk through how dbt fits into it and what features we may not be utilizing that can help us achieve our goals?

From ee1195dbafb1bf85a46de48ccf5d30609ee8e43f Mon Sep 17 00:00:00 2001
From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
Date: Wed, 2 Oct 2024 14:23:09 -0600
Subject: [PATCH 136/200] Fix typo

---
 website/docs/reference/resource-configs/contract.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-configs/contract.md b/website/docs/reference/resource-configs/contract.md
index 5904a6cc69d..2f52fc26e1f 100644
--- a/website/docs/reference/resource-configs/contract.md
+++ b/website/docs/reference/resource-configs/contract.md
@@ -2,7 +2,7 @@
 resource_types: [models]
 description: "When the contract configuration is enforced, dbt will ensure that your model's returned dataset exactly matches the attributes you have defined in yaml, such as name and data_type, as well as any additional constraints supported by the data platform."
 datatype: "{<dictionary>}"
-default_value: {contract: false}
+default_value: {enforced: false}
 id: "contract"
 ---
 

From b44e181a7586418ab65a0fa12874ca2ddd1f0edf Mon Sep 17 00:00:00 2001
From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com>
Date: Wed, 2 Oct 2024 13:50:48 -0700
Subject: [PATCH 137/200] Release note for 1.9 / versionless inferring primary
 key within manifest based on constraints (#6217)

Closes https://github.com/dbt-labs/docs.getdbt.com/issues/5497

## What are you changing in this pull request and why?
* adding release note for inferring primary key within manifest based on
constraints

## Checklist
- [ ] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [ ] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [ ] I have added checklist item(s) to this list for anything anything
that needs to happen before this PR is merged, such as "needs technical
review" or "change base branch."
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PRE-RELEASE VERSION OF dbt (if so, uncomment):
- [ ] Add a note to the prerelease version [Migration
Guide](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/core-upgrade)
-->
<!--
ADDING OR REMOVING PAGES (if so, uncomment):
- [ ] Add/remove page in `website/sidebars.js`
- [ ] Provide a unique filename for new pages
- [ ] Add an entry for deleted pages in `website/vercel.json`
- [ ] Run link testing locally with `npm run build` to update the links
that point to deleted pages
-->

---------

Co-authored-by: mirnawong1 <mirnawong@gmail.com>
Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Co-authored-by: Lesley Greene <46576335+lgreene27@users.noreply.github.com>
---
 website/docs/docs/dbt-versions/release-notes.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index f98cd199ad7..0d1668c959f 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -21,6 +21,8 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 ## October 2024
 
 - **Enhancement**: In dbt Cloud Versionless, snapshots defined in SQL files can now use `config` defined in `schema.yml` YAML files. This update resolves the previous limitation that required snapshot properties to be defined exclusively in `dbt_project.yml` and/or a `config()` block within the SQL file. This enhancement will be included in the upcoming dbt Core v1.9 release.
+- **Enhancement**: In May 2024, dbt Cloud versionless began inferring a model's `primary_key` based on configured data tests and/or constraints within `manifest.json`. The inferred `primary_key` is visible in dbt Explorer and utilized by the dbt Cloud [compare changes](/docs/deploy/run-visibility#compare-tab) feature. This will also be released in dbt Core 1.9.
+Read about the [order dbt infers columns can be used as primary key of a model](https://github.com/dbt-labs/dbt-core/blob/7940ad5c7858ff11ef100260a372f2f06a86e71f/core/dbt/contracts/graph/nodes.py#L534-L541). 
 - **New:** dbt Explorer now includes trust signal icons, which is currently available as a [Preview](/docs/dbt-versions/product-lifecycles#dbt-cloud). Trust signals offer a quick, at-a-glance view of data health when browsing your dbt models in Explorer. These icons indicate whether a model is **Healthy**, **Caution**, **Degraded**, or **Unknown**. For accurate health data, ensure the resource is up-to-date and has had a recent job run. Refer to [Trust signals](/docs/collaborate/explore-projects#trust-signals-for-resources) for more information. 
 - **New:** Auto exposures are now available in Preview in dbt Cloud. Auto-exposures helps users understand how their models are used in downstream analytics tools to inform investments and reduce incidents. It imports and auto-generates exposures based on Tableau dashboards, with user-defined curation. To learn more, refer to [Auto exposures](/docs/collaborate/auto-exposures).
 

From 8c148d0449552ca8262b7641b24cc85751370cfe Mon Sep 17 00:00:00 2001
From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com>
Date: Wed, 2 Oct 2024 16:05:32 -0700
Subject: [PATCH 138/200] Adding caveat to the false positives (#6207)

Closes https://github.com/dbt-labs/docs.getdbt.com/issues/6197

## What are you changing in this pull request and why?

Adjusting false positives section to account for new flag that reduces
false positives by not recognizing jinja code changes as a
`state:modified`

## Checklist
- [ ] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [ ] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [ ] I have added checklist item(s) to this list for anything anything
that needs to happen before this PR is merged, such as "needs technical
review" or "change base branch."
<!--
PRE-RELEASE VERSION OF dbt (if so, uncomment):
- [ ] Add a note to the prerelease version [Migration
Guide](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/core-upgrade)
-->
<!--
ADDING OR REMOVING PAGES (if so, uncomment):
- [ ] Add/remove page in `website/sidebars.js`
- [ ] Provide a unique filename for new pages
- [ ] Add an entry for deleted pages in `website/vercel.json`
- [ ] Run link testing locally with `npm run build` to update the links
that point to deleted pages
-->

---------

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com>
---
 .../state-comparison-caveats.md               | 23 ++++++++++++++++---
 1 file changed, 20 insertions(+), 3 deletions(-)

diff --git a/website/docs/reference/node-selection/state-comparison-caveats.md b/website/docs/reference/node-selection/state-comparison-caveats.md
index b0abde03aa0..634bd92db06 100644
--- a/website/docs/reference/node-selection/state-comparison-caveats.md
+++ b/website/docs/reference/node-selection/state-comparison-caveats.md
@@ -16,7 +16,16 @@ dbt will mark modified any resource that depends on a changed macro, or on a mac
 
 ### Vars
 
-If a model uses a `var` or `env_var` in its definition, dbt is unable today to identify that lineage in such a way that it can include the model in `state:modified` because the `var` or `env_var` value has changed. It's likely that the model will be marked modified if the change in variable results in a different configuration.
+<VersionBlock lastVersion="1.8">
+
+If a model uses a `var` or `env_var` in its definition, dbt Core 1.8 and earlier are unable today to identify that lineage in such a way that it can include the model in `state:modified` because the `var` or `env_var` value has changed. It's likely that the model will be marked modified if the change in variable results in a different configuration.
+</VersionBlock>
+
+<VersionBlock firstVersion="1.9">
+
+Beginning in dbt Core 1.9, when you set the `state_modified_compare_vars` [behavior flag](/reference/global-configs/behavior-changes#behavior-change-flags) to `True` and a model uses a `var` or `env_var` in its definition, dbt will identify that lineage in such a way that it will include the model in `state:modified` when the `var` or `env_var` value has changed. 
+
+</VersionBlock>
 
 ### Tests
 
@@ -44,12 +53,19 @@ dbt test -s "state:modified" --exclude "test_name:relationships"
 
 ### False positives
 
+<VersionBlock firstVersion="1.9">
+
+To reduce false positives during `state:modified` selection due to env-aware logic, you can set the `state_modified_compare_more_unrendered` [behavior flag](/reference/global-configs/behavior-changes#behavior-change-flags) to `True`. 
+
+</VersionBlock>
+
+<VersionBlock lastVersion="1.8">
 State comparison works by identifying discrepancies between two manifests.  Those discrepancies could be the result of:
 
 1. Changes made to a project in development
-2. Env-aware logic that causes different behavior based on the `target`, env vars, etc.
+2. Env-aware logic that causes different behavior based on the `target`, env vars, etc., which can be avoided if you upgrade to dbt Core 1.9 and set the `state_modified_compare_more_unrendered` [behavior flag](/reference/global-configs/behavior-changes#behavior-change-flags) to `True`. 
 
-State comparison detects env-aware config in `dbt_project.yml`. This target-based config registers as a modification:
+State comparison detects env-aware config in `dbt_project.yml`. This target-based config won't register as a modification:
 
 <File name='dbt_project.yml'>
 
@@ -73,6 +89,7 @@ That means the following config—functionally identical to the snippet above—
     materialized = ('table' if target.name == 'prod' else 'view')
 ) }}
 ```
+</VersionBlock>
 
 ### Final note
 

From ee97e4cf9456361318b5dd85711eee8963248c19 Mon Sep 17 00:00:00 2001
From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com>
Date: Wed, 2 Oct 2024 16:47:12 -0700
Subject: [PATCH 139/200] Update state-comparison-caveats.md (#6223)

## What are you changing in this pull request and why?

Removing var info until it's ready to ship.

## Checklist
- [ ] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [ ] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [ ] I have added checklist item(s) to this list for anything anything
that needs to happen before this PR is merged, such as "needs technical
review" or "change base branch."
<!--
PRE-RELEASE VERSION OF dbt (if so, uncomment):
- [ ] Add a note to the prerelease version [Migration
Guide](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/core-upgrade)
-->
<!--
ADDING OR REMOVING PAGES (if so, uncomment):
- [ ] Add/remove page in `website/sidebars.js`
- [ ] Provide a unique filename for new pages
- [ ] Add an entry for deleted pages in `website/vercel.json`
- [ ] Run link testing locally with `npm run build` to update the links
that point to deleted pages
-->
---
 .../node-selection/state-comparison-caveats.md        | 11 +----------
 1 file changed, 1 insertion(+), 10 deletions(-)

diff --git a/website/docs/reference/node-selection/state-comparison-caveats.md b/website/docs/reference/node-selection/state-comparison-caveats.md
index 634bd92db06..4d5593b7331 100644
--- a/website/docs/reference/node-selection/state-comparison-caveats.md
+++ b/website/docs/reference/node-selection/state-comparison-caveats.md
@@ -16,16 +16,7 @@ dbt will mark modified any resource that depends on a changed macro, or on a mac
 
 ### Vars
 
-<VersionBlock lastVersion="1.8">
-
-If a model uses a `var` or `env_var` in its definition, dbt Core 1.8 and earlier are unable today to identify that lineage in such a way that it can include the model in `state:modified` because the `var` or `env_var` value has changed. It's likely that the model will be marked modified if the change in variable results in a different configuration.
-</VersionBlock>
-
-<VersionBlock firstVersion="1.9">
-
-Beginning in dbt Core 1.9, when you set the `state_modified_compare_vars` [behavior flag](/reference/global-configs/behavior-changes#behavior-change-flags) to `True` and a model uses a `var` or `env_var` in its definition, dbt will identify that lineage in such a way that it will include the model in `state:modified` when the `var` or `env_var` value has changed. 
-
-</VersionBlock>
+If a model uses a `var` or `env_var` in its definition, dbt is unable today to identify that lineage in such a way that it can include the model in `state:modified` because the `var` or `env_var` value has changed. It's likely that the model will be marked modified if the change in variable results in a different configuration.
 
 ### Tests
 

From 27e43c60c8bea5e70a987f14a37a0069648a9d83 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 3 Oct 2024 09:58:26 +0100
Subject: [PATCH 140/200] add release note' :qa

:QA1
!
:qa
---
 website/docs/docs/dbt-versions/release-notes.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index 0d1668c959f..8645e98f4c0 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -20,6 +20,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 
 ## October 2024
 
+- **Enhancement**: You can now add a description to a singular data test in dbt Cloud Versionless. Use the [`description` property](/reference/resource-properties/description) to document [singular data tests](/docs/build/data-tests#singular-data-tests). You can also use [docs block](/docs/build/documentation#using-docs-blocks) to capture your test description. The enhancement will be included in upcoming dbt Core 1.9 release.
 - **Enhancement**: In dbt Cloud Versionless, snapshots defined in SQL files can now use `config` defined in `schema.yml` YAML files. This update resolves the previous limitation that required snapshot properties to be defined exclusively in `dbt_project.yml` and/or a `config()` block within the SQL file. This enhancement will be included in the upcoming dbt Core v1.9 release.
 - **Enhancement**: In May 2024, dbt Cloud versionless began inferring a model's `primary_key` based on configured data tests and/or constraints within `manifest.json`. The inferred `primary_key` is visible in dbt Explorer and utilized by the dbt Cloud [compare changes](/docs/deploy/run-visibility#compare-tab) feature. This will also be released in dbt Core 1.9.
 Read about the [order dbt infers columns can be used as primary key of a model](https://github.com/dbt-labs/dbt-core/blob/7940ad5c7858ff11ef100260a372f2f06a86e71f/core/dbt/contracts/graph/nodes.py#L534-L541). 

From 039a3abfeab2d169bb473c09373c408c3cb71819 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 3 Oct 2024 12:39:02 +0100
Subject: [PATCH 141/200] add sm

---
 website/docs/docs/cloud/dbt-assist.md         |   4 ++--
 website/docs/docs/cloud/use-dbt-assist.md     |  16 +++++++---------
 .../docs/docs/dbt-versions/release-notes.md   |   1 +
 .../dbt-cloud/cloud-ide/dbt-assist-doc.gif    | Bin 2551432 -> 0 bytes
 .../docs/dbt-cloud/cloud-ide/dbt-assist.gif   | Bin 0 -> 809991 bytes
 5 files changed, 10 insertions(+), 11 deletions(-)
 delete mode 100644 website/static/img/docs/dbt-cloud/cloud-ide/dbt-assist-doc.gif
 create mode 100644 website/static/img/docs/dbt-cloud/cloud-ide/dbt-assist.gif

diff --git a/website/docs/docs/cloud/dbt-assist.md b/website/docs/docs/cloud/dbt-assist.md
index ab0d524364f..bb8cabaff2b 100644
--- a/website/docs/docs/cloud/dbt-assist.md
+++ b/website/docs/docs/cloud/dbt-assist.md
@@ -8,7 +8,7 @@ pagination_prev: null
 
 # About dbt Assist <Lifecycle status='beta'/> 
 
-dbt Assist is a powerful artificial intelligence (AI) co-pilot feature that helps automate development in dbt Cloud, allowing you to focus on delivering data that works. dbt Assist’s AI co-pilot generates [documentation](/docs/build/documentation), [semantic models](/docs/build/semantic-models), and [tests](/docs/build/data-tests) for your dbt SQL models directly in the dbt Cloud IDE, with a click of a button, and helps you accomplish more in less time.
+dbt Assist is a powerful artificial intelligence (AI) co-pilot feature that helps automate development in dbt Cloud, allowing you to focus on delivering data that works. dbt Assist’s AI co-pilot generates [documentation](/docs/build/documentation), [semantic models](/docs/build/semantic-models), and [tests](/docs/build/data-tests) for your SQL models directly in the dbt Cloud IDE, with a click of a button, and helps you accomplish more in less time.
 
 :::tip Beta feature
 dbt Assist is an AI tool meant to _help_ developers generate documentation, semantic models, and tests in dbt Cloud. It's available in beta, in the dbt Cloud IDE only.
@@ -16,7 +16,7 @@ dbt Assist is an AI tool meant to _help_ developers generate documentation, sema
 To use dbt Assist, you must have an active [dbt Cloud Enterprise account](https://www.getdbt.com/pricing) and agree to use dbt Labs' OpenAI key. [Register your interest](https://docs.google.com/forms/d/e/1FAIpQLScPjRGyrtgfmdY919Pf3kgqI5E95xxPXz-8JoVruw-L9jVtxg/viewform) to join the private beta or reach out to your account team to begin this process.
 :::
 
-<Lightbox src="/img/docs/dbt-cloud/cloud-ide/dbt-assist-doc.gif" width="100%" title="Use dbt Assist, a powerful AI feature, to automatically generate tests, semantic models, and documentation in the dbt Cloud IDE." />
+<Lightbox src="/img/docs/dbt-cloud/cloud-ide/dbt-assist.gif" width="100%" title="Use dbt Assist, a powerful AI feature, to automatically generate tests, semantic models, and documentation in the dbt Cloud IDE." />
 
 ## Feedback
 
diff --git a/website/docs/docs/cloud/use-dbt-assist.md b/website/docs/docs/cloud/use-dbt-assist.md
index 6eede72aee8..888d5107999 100644
--- a/website/docs/docs/cloud/use-dbt-assist.md
+++ b/website/docs/docs/cloud/use-dbt-assist.md
@@ -6,17 +6,15 @@ description: "Use dbt Assist to generate documentation, semantic models, and tes
 
 # Use dbt Assist <Lifecycle status='beta'/> 
 
-Use dbt Assist to generate documentation, semantic models, and tests from scratch, giving you the flexibility to modify or fix generated code. To access and use dbt Assist:
+Use dbt Assist to generate documentation, semantic models, and tests from scratch, giving you the flexibility to modify or fix generated code. 
 
-1. Navigate to the dbt Cloud IDE and select a SQL model file under the **File Explorer**.
+To access and use dbt Assist:
 
+1. Navigate to the dbt Cloud IDE and select a SQL model file under the **File Explorer**.
 2. In the **Console** section (under the **File Editor**), select the **dbt Assist** to view the available AI options.
-
-3. Select the available options: **Generate Documentation**, **Generate Tests**, or **Generate Semantic Model** to generate the YAML config.
-   - To generate both for the same model, click each option separately. dbt Assist intelligently saves the YAML config in the same file.
-
-4. Verify the AI-generated code. You can update or fix the code as needed.
-
+3. Select the available options to generate the YAML config: **Generate Documentation**, **Generate Tests**, or **Generate Semantic Model**.
+   - To generate multiple YAML configs for the same model, click each option separately. dbt Assist intelligently saves the YAML config in the same file.
+4. Verify the AI-generated code. Update or fix the code if needed.
 5. Click **Save** to save the code. You should see the file changes under the **Version control** section.
 
-<Lightbox src="/img/docs/dbt-cloud/cloud-ide/dbt-assist-doc.gif" width="100%" title="Use dbt Assist, a powerful AI feature, to automatically generate documentation, semantic models, and tests in the dbt Cloud IDE." />
+<Lightbox src="/img/docs/dbt-cloud/cloud-ide/dbt-assist.gif" width="100%" title="Use dbt Assist, a powerful AI feature, to automatically generate documentation, semantic models, and tests in the dbt Cloud IDE." />
diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index 81f0794440c..cd84a43f597 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -20,6 +20,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 
 ## September 2024
 
+- **Enhancement**: Use dbt Assist's co-pilot feature to generate semantic model for your models, now available in beta. dbt Assist automatically generates documentation, tests, and now semantic models based on the data in your model, . To learn more, refer to [dbt Assist](/docs/cloud/dbt-assist).
 - **New**: [Data health tile](/docs/collaborate/data-tile) is now generally available in dbt Explorer. Data health tiles provide a quick at-a-glance view of your data quality, highlighting potential issues in your data. You can embed these tiles in your dashboards to quickly identify and address data quality issues in your dbt project.
 - **New**: dbt Explorer's Model query history feature is now in Preview for dbt Cloud Enterprise customers. Model query history allows you to view the count of consumption queries for a model based on the data warehouse's query logs. This feature provides data teams insight, so they can focus their time and infrastructure spend on the worthwhile used data products. To learn more, refer to [Model query history](/docs/collaborate/model-query-history). 
 - **Enhancement**: You can now use [Extended Attributes](/docs/dbt-cloud-environments#extended-attributes) and [Environment Variables](/docs/build/environment-variables) when connecting to the Semantic Layer. If you set a value directly in the Semantic Layer Credentials, it will have a higher priority than Extended Attributes. When using environment variables, the default value for the environment will be used.  If you're using exports, job environment variable overrides aren't supported yet, but they will be soon.
diff --git a/website/static/img/docs/dbt-cloud/cloud-ide/dbt-assist-doc.gif b/website/static/img/docs/dbt-cloud/cloud-ide/dbt-assist-doc.gif
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HcmV?d00001


From e023b966d433e351714d88298982852eedbb558e Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 14:12:16 +0100
Subject: [PATCH 142/200] Update
 website/docs/docs/dbt-versions/release-notes.md

---
 website/docs/docs/dbt-versions/release-notes.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index 4c9fc700f6f..874d3b4742b 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -20,7 +20,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 
 ## October 2024
 
-- **New**: The dbt Semantic Layer supports custom calendar configurations in MetricFlow, available in Preview. Custom calendar configurations allow you to query data using non-standard time periods like `fiscal_year` or `retail_month`. Refer to [custom calendar](/docs/build/metricflow-time-spine#custom-calendar) to learn how to define these custom granularities in your MetricFlow timespine YAML configuration.
+- **New**: The dbt Semantic Layer supports custom calendar configurations in MetricFlow, available in [Preview](/docs/dbt-versions/product-lifecycles#dbt-cloud). Custom calendar configurations allow you to query data using non-standard time periods like `fiscal_year` or `retail_month`. Refer to [custom calendar](/docs/build/metricflow-time-spine#custom-calendar) to learn how to define these custom granularities in your MetricFlow timespine YAML configuration.
 - **Enhancement**: In dbt Cloud Versionless, snapshots defined in SQL files can now use `config` defined in `schema.yml` YAML files. This update resolves the previous limitation that required snapshot properties to be defined exclusively in `dbt_project.yml` and/or a `config()` block within the SQL file. This enhancement will be included in the upcoming dbt Core v1.9 release.
 - **Enhancement**: In May 2024, dbt Cloud versionless began inferring a model's `primary_key` based on configured data tests and/or constraints within `manifest.json`. The inferred `primary_key` is visible in dbt Explorer and utilized by the dbt Cloud [compare changes](/docs/deploy/run-visibility#compare-tab) feature. This will also be released in dbt Core 1.9.
 Read about the [order dbt infers columns can be used as primary key of a model](https://github.com/dbt-labs/dbt-core/blob/7940ad5c7858ff11ef100260a372f2f06a86e71f/core/dbt/contracts/graph/nodes.py#L534-L541). 

From cc6ee3d5b9a5e9c682d4c3b80ebb22bdda447bf8 Mon Sep 17 00:00:00 2001
From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com>
Date: Thu, 3 Oct 2024 10:21:57 -0400
Subject: [PATCH 143/200] Updating self-service page (#6221)

## What are you changing in this pull request and why?

In this PR:

- Update the self-service Team Plan permissions page.
-  Updated the permissions table
- Removed the snippet and integrated the table into the page. Snippet
was only used on this page. It would probably be better to have just a
single page with the table and link out to it for search optimization.
- Update sidebar to present the Enterprise page first.
- Generic links point to the enterprise page now. Targeted links remain
the same.


## Checklist
- [ ] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [ ] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [ ] I have added checklist item(s) to this list for anything anything
that needs to happen before this PR is merged, such as "needs technical
review" or "change base branch."
<!--
PRE-RELEASE VERSION OF dbt (if so, uncomment):
- [ ] Add a note to the prerelease version [Migration
Guide](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/core-upgrade)
-->
<!--
ADDING OR REMOVING PAGES (if so, uncomment):
- [ ] Add/remove page in `website/sidebars.js`
- [ ] Provide a unique filename for new pages
- [ ] Add an entry for deleted pages in `website/vercel.json`
- [ ] Run link testing locally with `npm run build` to update the links
that point to deleted pages
-->

---------

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/docs/cloud/git/connect-github.md |     2 +-
 .../manage-access/cloud-seats-and-users.md    |     2 +-
 .../manage-access/self-service-permissions.md |    86 +-
 .../docs/dbt-cloud-apis/service-tokens.md     |     2 +-
 website/docs/guides/sl-snowflake-qs.md        |     2 +-
 website/package-lock.json                     | 10026 ++++++++++------
 website/sidebars.js                           |     2 +-
 website/snippets/_new-sl-setup.md             |     2 +-
 .../_self-service-permissions-table.md        |    57 -
 9 files changed, 6238 insertions(+), 3943 deletions(-)
 delete mode 100644 website/snippets/_self-service-permissions-table.md

diff --git a/website/docs/docs/cloud/git/connect-github.md b/website/docs/docs/cloud/git/connect-github.md
index f230f70e1f6..e2bf459275e 100644
--- a/website/docs/docs/cloud/git/connect-github.md
+++ b/website/docs/docs/cloud/git/connect-github.md
@@ -17,7 +17,7 @@ Connecting your GitHub account to dbt Cloud provides convenience and another lay
   * **Note** &mdash; [Single tenant](/docs/cloud/about-cloud/tenancy#single-tenant) accounts offer enhanced connection options for integrating with an On-Premises GitHub deployment setup using the native integration.  This integration allows you to use all the features of the integration, such as triggering CI builds. The dbt Labs infrastructure team will coordinate with you to ensure any additional networking configuration requirements are met and completed. To discuss details, contact dbt Labs support or your dbt Cloud account team.
 - You _must_ be a **GitHub organization owner** in order to [install the dbt Cloud application](/docs/cloud/git/connect-github#installing-dbt-cloud-in-your-github-account) in your GitHub organization. To learn about GitHub organization roles, see the [GitHub documentation](https://docs.github.com/en/organizations/managing-peoples-access-to-your-organization-with-roles/roles-in-an-organization). 
 - The GitHub organization owner requires [_Owner_](/docs/cloud/manage-access/self-service-permissions) or [_Account Admin_](/docs/cloud/manage-access/enterprise-permissions) permissions when they log into dbt Cloud to integrate with a GitHub environment using organizations.
-- You may need to temporarily provide an extra dbt Cloud user account with _Owner_ or _Account Admin_ [permissions](/docs/cloud/manage-access/self-service-permissions) for your GitHub organization owner until they complete the installation.
+- You may need to temporarily provide an extra dbt Cloud user account with _Owner_ or _Account Admin_ [permissions](/docs/cloud/manage-access/enterprise-permissions) for your GitHub organization owner until they complete the installation.
 
 
 ## Installing dbt Cloud in your GitHub account
diff --git a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md
index f636be796d3..da19f30ab4c 100644
--- a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md
+++ b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md
@@ -3,7 +3,7 @@ title: "Users and licenses"
 description: "Learn how dbt Cloud administrators can use licenses and seats to control access in a dbt Cloud account."
 id: "seats-and-users"
 sidebar: "Users and licenses"
-pagination_next: "docs/cloud/manage-access/self-service-permissions"
+pagination_next: "docs/cloud/manage-access/enterprise-permissions"
 pagination_prev: null
 ---
 
diff --git a/website/docs/docs/cloud/manage-access/self-service-permissions.md b/website/docs/docs/cloud/manage-access/self-service-permissions.md
index 24e1283b126..a5bdba825c2 100644
--- a/website/docs/docs/cloud/manage-access/self-service-permissions.md
+++ b/website/docs/docs/cloud/manage-access/self-service-permissions.md
@@ -1,42 +1,84 @@
 ---
-title: "Self-service permissions"
-description: "Learn how dbt Cloud administrators can use self-service permissions to control access in a dbt Cloud account."
+title: "Self-service Team account permissions"
+description: "Learn how dbt Cloud administrators can use self-service permissions to control access in a dbt Cloud Team account."
+sidebar_label: "Team permissions"
 id: "self-service-permissions"
 ---
 
-import Permissions from '/snippets/_self-service-permissions-table.md';
+Self-service Team accounts are a quick and easy way to get dbt Cloud up and running for a small team. For teams looking to scale and access advanced features like SSO, group management, and support for larger user bases, upgrading to an [Enterprise](/docs/cloud/manage-access/enterprise-permissions) account unlocks these capabilities. 
 
+If you're interested in upgrading, contact [dbt Labs today](https://www.getdbt.com/contact)
 
-<Permissions features={'/snippets/_self-service-permissions-table.md'}/>
+## Groups and permissions
 
-## Read-Only vs. Developer License Types
+Groups determine a user's permission and there are three groups are available for Team plan dbt Cloud accounts: Owner, Member, and Everyone. The first Owner user is the person who created the dbt Cloud account. 
 
-Users configured with Read-Only license types will experience a restricted set of permissions in dbt Cloud. If a user is associated with a _Member_ permission set and a Read-Only seat license, then they will only have access to what a Read-Only seat allows. See [Seats and Users](/docs/cloud/manage-access/seats-and-users) for more information on the impact of licenses on these permissions.
+New users are added to the Member and Everyone groups when they onboard but this can be changed when the invitation is created. These groups only affect users with a [Developer license](#licenses) assigned. 
 
-## Owner and Member Groups in dbt Cloud Enterprise  
+The group access permissions are as follows:
 
-By default, new users are added to the Member and Owner groups when they onboard to a new dbt Cloud account. Member and Owner groups are included with every new dbt Cloud account because they provide access for administrators to add users and groups, and to apply permission sets.
+- **Owner** &mdash; Full access to account features.
+- **Member** &mdash; Robust access to the account with restrictions on features that can alter billing or security.
+- **Everyone** &mdash; A catch-all group for all users in the account. This group does not have any permission assignments beyond the user's profile. Users must be assigned to either the Member or Owner group to work in dbt Cloud. 
 
-You will need owner and member groups to help with account onboarding, but these groups can create confusion when initially setting up SSO and RBAC for dbt Cloud Enterprise accounts as described in the [Enterprise Permissions](enterprise-permissions) guide. Owner and Member groups are **account level** groups, so their permissions override any project-level permissions you wish to apply.
+## Licenses
 
-After onboarding administrative users and configuring RBAC/SSO groups, we recommend the following steps for onboarding users to a dbt Cloud Enterprise account.
+You assign licenses to every user onboarded into dbt Cloud. You only assign Developer-licensed users to the Owner and Member groups. The groups have no impact on Read-only or IT licensed users.
 
+There are three license types:
 
-### Prerequisites
+- **Developer** &mdash; The default license. Developer licenses don't restrict access to any features, so users with this license should be assigned to either the Owner or Member group. You're allotted up to 8 developer licenses per account.
+- **Read-Only** &mdash; Read-only access to your project, including environments dbt Explorer. Doesn't have access to account settings at all. Functions the same regardless of group assignments. You're allotted up to 5 read-only licenses per account.
+- **IT** &mdash; Partial access to the account settings including users, integrations, billing, and API settings. Cannot create or edit connects or access the project at all. Functions the same regardless of group assignments. You're allocated 1 seat per account.
 
-You need to create an Account Admins group before removing any other groups.
+See [Seats and Users](/docs/cloud/manage-access/seats-and-users) for more information on the impact of licenses on these permissions.
 
-1. Create an Account Admins group.  
-2. Assign at least one user to the Account Admins group. The assigned user can manage future group, SSO mapping, and user or group assignment.
+## Table of groups, licenses, and permissions
 
-### Remove the Owner and Member groups
+Key:
 
-Follow these steps for both Owner and Member groups:
+* (W)rite &mdash; Create new or modify existing. Includes `send`, `create`, `delete`, `allocate`, `modify`, and `read`.
+* (R)ead &mdash; Can view but can not create or change any fields.
+* No value &mdash; No access to the feature.
+
+Permissions:
+
+* [Account-level permissions](#account-permissions-for-account-roles) &mdash; Permissions related to management of the dbt Cloud account. For example, billing and account settings.
+* [Project-level permissions](#project-permissions-for-account-roles) &mdash; Permissions related to the projects in dbt Cloud. For example, Explorer and the IDE.
+
+The following tables outline the access that users have if they are assigned a Developer license and the Owner or Member group, Read-only license, or IT license.
+
+#### Account permissions for account roles
+
+| Account-level permission| Owner | Member | Read-only license|  IT license  |
+|:------------------------|:-----:|:------:|:----------------:|:------------:|
+| Account settings        |   W   |   W    |                  |       W      |
+| Billing                 |   W   |        |                  |       W      |
+| Invitations             |   W   |   W    |                  |       W      |
+| Licenses                |   W   |   R    |                  |       W      |
+| Users                   |   W   |   R    |                  |       W      |
+| Project (create)        |   W   |   W    |                  |       W      |
+| Connections             |   W   |   W    |                  |       W      |
+| Service tokens          |   W   |        |                  |       W      |
+| Webhooks                |   W   |   W    |                  |              |
+ 
+#### Project permissions for account roles
+
+|Project-level permission | Owner | Member  | Read-only | IT license |
+|:------------------------|:-----:|:-------:|:---------:|:----------:|
+| Adapters                |   W   |    W    |    R      |             |
+| Connections             |   W   |    W    |    R      |             |
+| Credentials             |   W   |    W    |    R      |             |
+| Custom env. variables   |   W   |    W    |    R      |             |
+| Develop (IDE or dbt Cloud CLI)| W |  W    |           |             |
+| Environments            |   W   |    W    |    R      |             |
+| Jobs                    |   W   |    W    |    R      |             |
+| dbt Explorer            |   W   |    W   |    R      |             |
+| Permissions             |   W   |    R    |           |             |
+| Profile                 |   W   |    W    |    R      |             |
+| Projects                |   W   |    W    |    R      |             |
+| Repositories            |   W   |    W    |    R      |             |
+| Runs                    |   W   |    W    |    R      |             |
+| Semantic Layer Config   |   W   |    W    |    R      |             |
 
-1. Log into dbt Cloud.
-2. Click the gear icon at the top right and select **Account settings**.
-3. Select **Groups** then select **OWNER** or **MEMBER**** group.  
-4. Click **Edit**.
-5. At the bottom of the Group page, click **Delete**.
 
-The Account Admin can add additional SSO mapping groups, permission sets, and users as needed.
diff --git a/website/docs/docs/dbt-cloud-apis/service-tokens.md b/website/docs/docs/dbt-cloud-apis/service-tokens.md
index a0292f26874..fe8ace5fa34 100644
--- a/website/docs/docs/dbt-cloud-apis/service-tokens.md
+++ b/website/docs/docs/dbt-cloud-apis/service-tokens.md
@@ -54,7 +54,7 @@ Job admin service tokens can authorize requests for viewing, editing, and creati
 Job runner service tokens can authorize requests for triggering runs and viewing historical runs.
 
 **Member** <br/>
-Member service tokens can authorize requests for viewing and editing resources, triggering runs, and inviting members to the account. Tokens assigned the Member permission set will have the same permissions as a Member user. For more information about Member users, see "[Self-service permissions](/docs/cloud/manage-access/self-service-permissions)".
+Member service tokens can authorize requests for viewing and editing resources, triggering runs, and inviting members to the account. Tokens assigned the Member permission set will have the same permissions as a Member user. For more information about Member users, see "[Self-service Team plan permissions](/docs/cloud/manage-access/self-service-permissions)".
 
 **Read-only**<br/>
 Read-only service tokens can authorize requests for viewing a read-only dashboard, viewing generated documentation, and viewing source freshness reports. This token can access and retrieve account-level information endpoints on the [Admin API](/docs/dbt-cloud-apis/admin-cloud-api) and authorize requests to the [Discovery API](/docs/dbt-cloud-apis/discovery-api). 
diff --git a/website/docs/guides/sl-snowflake-qs.md b/website/docs/guides/sl-snowflake-qs.md
index cf9bca98147..b5a0e559c5b 100644
--- a/website/docs/guides/sl-snowflake-qs.md
+++ b/website/docs/guides/sl-snowflake-qs.md
@@ -97,7 +97,7 @@ Open a new tab and follow these quick steps for account setup and data loading i
 ## Prerequisites
 
 - You need a [dbt Cloud](https://www.getdbt.com/signup/) Trial, Team, or Enterprise account for all deployments. Contact your representative for Single-tenant setup; otherwise, create an account using this guide.
-- Have the correct [dbt Cloud license](/docs/cloud/manage-access/seats-and-users) and [permissions](/docs/cloud/manage-access/self-service-permissions) based on your plan:
+- Have the correct [dbt Cloud license](/docs/cloud/manage-access/seats-and-users) and [permissions](/docs/cloud/manage-access/enterprise-permissions) based on your plan:
   <DetailsToggle alt_header="More info on license and permissions">  
   
   - Enterprise &mdash; Developer license with Account Admin permissions. Or "Owner" with a Developer license, assigned Project Creator, Database Admin, or Admin permissions.
diff --git a/website/package-lock.json b/website/package-lock.json
index 85f32e3e822..5fdf491f1cf 100644
--- a/website/package-lock.json
+++ b/website/package-lock.json
@@ -83,12 +83,14 @@
     },
     "node_modules/@adobe/css-tools": {
       "version": "4.4.0",
-      "dev": true,
-      "license": "MIT"
+      "resolved": "https://registry.npmjs.org/@adobe/css-tools/-/css-tools-4.4.0.tgz",
+      "integrity": "sha512-Ff9+ksdQQB3rMncgqDK78uLznstjyfIf2Arnh22pW8kBpLs6rpKDwgnZT46hin5Hl1WzazzK64DOrhSwYpS7bQ==",
+      "dev": true
     },
     "node_modules/@algolia/autocomplete-core": {
       "version": "1.9.3",
-      "license": "MIT",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-core/-/autocomplete-core-1.9.3.tgz",
+      "integrity": "sha512-009HdfugtGCdC4JdXUbVJClA0q0zh24yyePn+KUGk3rP7j8FEe/m5Yo/z65gn6nP/cM39PxpzqKrL7A6fP6PPw==",
       "dependencies": {
         "@algolia/autocomplete-plugin-algolia-insights": "1.9.3",
         "@algolia/autocomplete-shared": "1.9.3"
@@ -96,7 +98,8 @@
     },
     "node_modules/@algolia/autocomplete-plugin-algolia-insights": {
       "version": "1.9.3",
-      "license": "MIT",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-plugin-algolia-insights/-/autocomplete-plugin-algolia-insights-1.9.3.tgz",
+      "integrity": "sha512-a/yTUkcO/Vyy+JffmAnTWbr4/90cLzw+CC3bRbhnULr/EM0fGNvM13oQQ14f2moLMcVDyAx/leczLlAOovhSZg==",
       "dependencies": {
         "@algolia/autocomplete-shared": "1.9.3"
       },
@@ -106,7 +109,8 @@
     },
     "node_modules/@algolia/autocomplete-preset-algolia": {
       "version": "1.9.3",
-      "license": "MIT",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-preset-algolia/-/autocomplete-preset-algolia-1.9.3.tgz",
+      "integrity": "sha512-d4qlt6YmrLMYy95n5TB52wtNDr6EgAIPH81dvvvW8UmuWRgxEtY0NJiPwl/h95JtG2vmRM804M0DSwMCNZlzRA==",
       "dependencies": {
         "@algolia/autocomplete-shared": "1.9.3"
       },
@@ -117,137 +121,262 @@
     },
     "node_modules/@algolia/autocomplete-shared": {
       "version": "1.9.3",
-      "license": "MIT",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-shared/-/autocomplete-shared-1.9.3.tgz",
+      "integrity": "sha512-Wnm9E4Ye6Rl6sTTqjoymD+l8DjSTHsHboVRYrKgEt8Q7UHm9nYbqhN/i0fhUYA3OAEH7WA8x3jfpnmJm3rKvaQ==",
       "peerDependencies": {
         "@algolia/client-search": ">= 4.9.1 < 6",
         "algoliasearch": ">= 4.9.1 < 6"
       }
     },
     "node_modules/@algolia/cache-browser-local-storage": {
-      "version": "4.23.3",
-      "license": "MIT",
+      "version": "4.24.0",
+      "resolved": "https://registry.npmjs.org/@algolia/cache-browser-local-storage/-/cache-browser-local-storage-4.24.0.tgz",
+      "integrity": "sha512-t63W9BnoXVrGy9iYHBgObNXqYXM3tYXCjDSHeNwnsc324r4o5UiVKUiAB4THQ5z9U5hTj6qUvwg/Ez43ZD85ww==",
       "dependencies": {
-        "@algolia/cache-common": "4.23.3"
+        "@algolia/cache-common": "4.24.0"
       }
     },
     "node_modules/@algolia/cache-common": {
-      "version": "4.23.3",
-      "license": "MIT"
+      "version": "4.24.0",
+      "resolved": "https://registry.npmjs.org/@algolia/cache-common/-/cache-common-4.24.0.tgz",
+      "integrity": "sha512-emi+v+DmVLpMGhp0V9q9h5CdkURsNmFC+cOS6uK9ndeJm9J4TiqSvPYVu+THUP8P/S08rxf5x2P+p3CfID0Y4g=="
     },
     "node_modules/@algolia/cache-in-memory": {
-      "version": "4.23.3",
-      "license": "MIT",
+      "version": "4.24.0",
+      "resolved": "https://registry.npmjs.org/@algolia/cache-in-memory/-/cache-in-memory-4.24.0.tgz",
+      "integrity": "sha512-gDrt2so19jW26jY3/MkFg5mEypFIPbPoXsQGQWAi6TrCPsNOSEYepBMPlucqWigsmEy/prp5ug2jy/N3PVG/8w==",
       "dependencies": {
-        "@algolia/cache-common": "4.23.3"
+        "@algolia/cache-common": "4.24.0"
       }
     },
     "node_modules/@algolia/client-account": {
-      "version": "4.23.3",
-      "license": "MIT",
+      "version": "4.24.0",
+      "resolved": "https://registry.npmjs.org/@algolia/client-account/-/client-account-4.24.0.tgz",
+      "integrity": "sha512-adcvyJ3KjPZFDybxlqnf+5KgxJtBjwTPTeyG2aOyoJvx0Y8dUQAEOEVOJ/GBxX0WWNbmaSrhDURMhc+QeevDsA==",
+      "dependencies": {
+        "@algolia/client-common": "4.24.0",
+        "@algolia/client-search": "4.24.0",
+        "@algolia/transporter": "4.24.0"
+      }
+    },
+    "node_modules/@algolia/client-account/node_modules/@algolia/client-common": {
+      "version": "4.24.0",
+      "resolved": "https://registry.npmjs.org/@algolia/client-common/-/client-common-4.24.0.tgz",
+      "integrity": "sha512-bc2ROsNL6w6rqpl5jj/UywlIYC21TwSSoFHKl01lYirGMW+9Eek6r02Tocg4gZ8HAw3iBvu6XQiM3BEbmEMoiA==",
       "dependencies": {
-        "@algolia/client-common": "4.23.3",
-        "@algolia/client-search": "4.23.3",
-        "@algolia/transporter": "4.23.3"
+        "@algolia/requester-common": "4.24.0",
+        "@algolia/transporter": "4.24.0"
+      }
+    },
+    "node_modules/@algolia/client-account/node_modules/@algolia/client-search": {
+      "version": "4.24.0",
+      "resolved": "https://registry.npmjs.org/@algolia/client-search/-/client-search-4.24.0.tgz",
+      "integrity": "sha512-uRW6EpNapmLAD0mW47OXqTP8eiIx5F6qN9/x/7HHO6owL3N1IXqydGwW5nhDFBrV+ldouro2W1VX3XlcUXEFCA==",
+      "dependencies": {
+        "@algolia/client-common": "4.24.0",
+        "@algolia/requester-common": "4.24.0",
+        "@algolia/transporter": "4.24.0"
       }
     },
     "node_modules/@algolia/client-analytics": {
-      "version": "4.23.3",
-      "license": "MIT",
+      "version": "4.24.0",
+      "resolved": "https://registry.npmjs.org/@algolia/client-analytics/-/client-analytics-4.24.0.tgz",
+      "integrity": "sha512-y8jOZt1OjwWU4N2qr8G4AxXAzaa8DBvyHTWlHzX/7Me1LX8OayfgHexqrsL4vSBcoMmVw2XnVW9MhL+Y2ZDJXg==",
       "dependencies": {
-        "@algolia/client-common": "4.23.3",
-        "@algolia/client-search": "4.23.3",
-        "@algolia/requester-common": "4.23.3",
-        "@algolia/transporter": "4.23.3"
+        "@algolia/client-common": "4.24.0",
+        "@algolia/client-search": "4.24.0",
+        "@algolia/requester-common": "4.24.0",
+        "@algolia/transporter": "4.24.0"
       }
     },
-    "node_modules/@algolia/client-common": {
-      "version": "4.23.3",
-      "license": "MIT",
+    "node_modules/@algolia/client-analytics/node_modules/@algolia/client-common": {
+      "version": "4.24.0",
+      "resolved": "https://registry.npmjs.org/@algolia/client-common/-/client-common-4.24.0.tgz",
+      "integrity": "sha512-bc2ROsNL6w6rqpl5jj/UywlIYC21TwSSoFHKl01lYirGMW+9Eek6r02Tocg4gZ8HAw3iBvu6XQiM3BEbmEMoiA==",
       "dependencies": {
-        "@algolia/requester-common": "4.23.3",
-        "@algolia/transporter": "4.23.3"
+        "@algolia/requester-common": "4.24.0",
+        "@algolia/transporter": "4.24.0"
+      }
+    },
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-      "license": "MIT",
+      "resolved": "https://registry.npmjs.org/xml-js/-/xml-js-1.6.11.tgz",
+      "integrity": "sha512-7rVi2KMfwfWFl+GpPg6m80IVMWXLRjO+PxTq7V2CDhoGak0wzYzFgUY2m4XJ47OGdXd8eLE8EmwfAmdjw7lC1g==",
       "dependencies": {
         "sax": "^1.2.4"
       },
@@ -27184,43 +29480,50 @@
     },
     "node_modules/xml-parser-xo": {
       "version": "3.2.0",
-      "license": "MIT",
+      "resolved": "https://registry.npmjs.org/xml-parser-xo/-/xml-parser-xo-3.2.0.tgz",
+      "integrity": "sha512-8LRU6cq+d7mVsoDaMhnkkt3CTtAs4153p49fRo+HIB3I1FD1o5CeXRjRH29sQevIfVJIcPjKSsPU/+Ujhq09Rg==",
       "engines": {
         "node": ">= 10"
       }
     },
     "node_modules/xtend": {
       "version": "4.0.2",
-      "license": "MIT",
+      "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz",
+      "integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==",
       "engines": {
         "node": ">=0.4"
       }
     },
     "node_modules/y18n": {
       "version": "5.0.8",
-      "license": "ISC",
+      "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
+      "integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==",
       "engines": {
         "node": ">=10"
       }
     },
     "node_modules/yallist": {
       "version": "3.1.1",
-      "license": "ISC"
+      "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
+      "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="
     },
     "node_modules/yaml": {
       "version": "1.10.2",
-      "license": "ISC",
+      "resolved": "https://registry.npmjs.org/yaml/-/yaml-1.10.2.tgz",
+      "integrity": "sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==",
       "engines": {
         "node": ">= 6"
       }
     },
     "node_modules/yaml-ast-parser": {
       "version": "0.0.43",
-      "license": "Apache-2.0"
+      "resolved": "https://registry.npmjs.org/yaml-ast-parser/-/yaml-ast-parser-0.0.43.tgz",
+      "integrity": "sha512-2PTINUwsRqSd+s8XxKaJWQlUuEMHJQyEuh2edBbW8KNJz0SJPwUSD2zRWqezFEdN7IzAgeuYHFUCF7o8zRdZ0A=="
     },
     "node_modules/yargs": {
       "version": "17.7.2",
-      "license": "MIT",
+      "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz",
+      "integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==",
       "dependencies": {
         "cliui": "^8.0.1",
         "escalade": "^3.1.1",
@@ -27236,18 +29539,21 @@
     },
     "node_modules/yargs-parser": {
       "version": "21.1.1",
-      "license": "ISC",
+      "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz",
+      "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==",
       "engines": {
         "node": ">=12"
       }
     },
     "node_modules/yargs/node_modules/emoji-regex": {
       "version": "8.0.0",
-      "license": "MIT"
+      "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
+      "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
     },
     "node_modules/yargs/node_modules/string-width": {
       "version": "4.2.3",
-      "license": "MIT",
+      "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
+      "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
       "dependencies": {
         "emoji-regex": "^8.0.0",
         "is-fullwidth-code-point": "^3.0.0",
@@ -27259,8 +29565,9 @@
     },
     "node_modules/yauzl": {
       "version": "2.10.0",
+      "resolved": "https://registry.npmjs.org/yauzl/-/yauzl-2.10.0.tgz",
+      "integrity": "sha512-p4a9I6X6nu6IhoGmBqAcbJy1mlC4j27vEPZX9F4L4/vZT3Lyq1VkFHw/V/PUcB9Buo+DG3iHkT0x3Qya58zc3g==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
         "buffer-crc32": "~0.2.3",
         "fd-slicer": "~1.1.0"
@@ -27268,7 +29575,8 @@
     },
     "node_modules/yocto-queue": {
       "version": "0.1.0",
-      "license": "MIT",
+      "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
+      "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
       "engines": {
         "node": ">=10"
       },
@@ -27278,7 +29586,8 @@
     },
     "node_modules/zustand": {
       "version": "3.7.2",
-      "license": "MIT",
+      "resolved": "https://registry.npmjs.org/zustand/-/zustand-3.7.2.tgz",
+      "integrity": "sha512-PIJDIZKtokhof+9+60cpockVOq05sJzHCriyvaLBmEJixseQ1a5Kdov6fWZfWOu5SK9c+FhH1jU0tntLxRJYMA==",
       "engines": {
         "node": ">=12.7.0"
       },
@@ -27293,7 +29602,8 @@
     },
     "node_modules/zwitch": {
       "version": "2.0.4",
-      "license": "MIT",
+      "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz",
+      "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==",
       "funding": {
         "type": "github",
         "url": "https://github.com/sponsors/wooorm"
diff --git a/website/sidebars.js b/website/sidebars.js
index e55f89413a3..771cde10562 100644
--- a/website/sidebars.js
+++ b/website/sidebars.js
@@ -91,8 +91,8 @@ const sidebarSettings = {
                   },
                   items: [
                     "docs/cloud/manage-access/seats-and-users",
-                    "docs/cloud/manage-access/self-service-permissions",
                     "docs/cloud/manage-access/enterprise-permissions",
+                    "docs/cloud/manage-access/self-service-permissions",
                   ],
                 },
                 {
diff --git a/website/snippets/_new-sl-setup.md b/website/snippets/_new-sl-setup.md
index 9079de6b80f..39cd2b22b9a 100644
--- a/website/snippets/_new-sl-setup.md
+++ b/website/snippets/_new-sl-setup.md
@@ -1,6 +1,6 @@
 import SLEnvVars from '/snippets/_sl-env-vars.md';
 
-You must be part of the Owner group and have the correct [license](/docs/cloud/manage-access/seats-and-users) and [permissions](/docs/cloud/manage-access/self-service-permissions) to set up the Semantic Layer at the environment and project level.
+You must be part of the Owner group and have the correct [license](/docs/cloud/manage-access/seats-and-users) and [permissions](/docs/cloud/manage-access/enterprise-permissions) to set up the Semantic Layer at the environment and project level.
 - Enterprise plan:
   - Developer license with Account Admin permissions, or
   - Owner with a Developer license, assigned Project Creator, Database Admin, or Admin permissions.
diff --git a/website/snippets/_self-service-permissions-table.md b/website/snippets/_self-service-permissions-table.md
deleted file mode 100644
index 12f6577ddbd..00000000000
--- a/website/snippets/_self-service-permissions-table.md
+++ /dev/null
@@ -1,57 +0,0 @@
-
-There are 3 roles available for self-service dbt Cloud accounts:
-
-- **Owner** &mdash; Full access to account features.
-- **Member** &mdash; Robust access to the account with restrictions on features that can alter billing or security.
-- **Read-only** &mdash; Read-only access to features.
-
-Key:
-
-* (W)rite &mdash; Create new or modify existing. Includes `send`, `create`, `delete`, `allocate`, `modify`, and `read`.
-* (R)ead &mdash; Can view but can not create or change any fields.
-* No value &mdash; No access to the feature.
-
-Permissions: 
-
-* Account-level permissions &mdash; Permissions related to management of the dbt Cloud account. For example, billing and account settings.
-* Project-level permissions &mdash; Permissions related to the projects in dbt Cloud. For example, repos and access to the IDE or dbt Cloud CLI. 
-
-
-#### Account permissions for account roles
-
-| Account-level permission| Owner | Member | Read-only |
-|:-------------------------|:----:|:------:|:---------:|
-| Account settings        |   W   |   W    |           |
-| Audit logs              |   R   |        |           |
-| Auth provider           |   W   |        |           |
-| Billing                 |   W   |        |           |
-| Groups                  |   W   |   R    |    R      |
-| Invitations             |   W   |   W    |    R      |
-| Licenses                |   W   |   R    |           |
-| Members                 |   W   |   R    |    R      |
-| Project (create)        |   W   |   W    |           |
-| Public models           |   R   |   R    |    R      |
-| Service tokens          |   W   |        |           |
-| Webhooks                |   W   |   W    |           |
-
-#### Project permissions for account roles
-
-|Project-level permission | Owner | Member  | Read-only | 
-|:------------------------|:-----:|:-------:|:---------:|
-| Adapters                |   W   |    W    |    R      | 
-| Connections             |   W   |    W    |    R      |
-| Credentials             |   W   |    W    |    R      |
-| Custom env. variables   |   W   |    W    |    R      |
-| dbt adapters            |   W   |    W    |           |
-| Develop (IDE or dbt Cloud CLI)| W |  W    |           |
-| Environments            |   W   |    W    |    R      |
-| Jobs                    |   W   |    W    |    R      |
-| Metadata                |   R   |    R    |    R      |
-| Permissions             |   W   |    R    |           |
-| Profile                 |   W   |    W    |    R      |
-| Projects                |   W   |    W    |    R      |
-| Repositories            |   W   |    W    |    R      |
-| Runs                    |   W   |    W    |    R      |
-| Semantic Layer Config   |   W   |    W    |    R      |
-
-

From 98ad8ac3f45783d2f094556ea85bd8fc641d3acb Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 15:42:49 +0100
Subject: [PATCH 144/200] Update
 website/docs/reference/resource-configs/strategy.md

Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 website/docs/reference/resource-configs/strategy.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/website/docs/reference/resource-configs/strategy.md b/website/docs/reference/resource-configs/strategy.md
index 1aa06a29fab..daffb4a6eef 100644
--- a/website/docs/reference/resource-configs/strategy.md
+++ b/website/docs/reference/resource-configs/strategy.md
@@ -83,8 +83,7 @@ snapshots:
     relation: source('my_source', 'my_table')
     config:
       strategy: check
-      check_cols: 
-        - [column_name] | "all"
+      check_cols: [column_name] | "all"
   ```
 </File>
 </VersionBlock>

From b0191c6e2212fe0255fccf9981096fa161e6ae38 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 15:43:30 +0100
Subject: [PATCH 145/200] Update website/docs/reference/snapshot-configs.md

Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 website/docs/reference/snapshot-configs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index 1bd89fc3ff8..1f062a1a8f0 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -230,7 +230,7 @@ snapshots:
 
 <TabItem value="config">
 
-<VersionBlock firsttVersion="1.9">
+<VersionBlock firstVersion="1.9">
 
 Configurations can be applied to snapshots using the more performant [YAML syntax](/docs/build/snapshots), aavilable in Versionless and dbt v1.9 and higher, in the the `snapshot` directory file.
 

From 2076f2690ebf5aa12abd2b619e061a1a1aeb0452 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 15:44:09 +0100
Subject: [PATCH 146/200] Update
 website/docs/reference/resource-configs/unique_key.md

Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 website/docs/reference/resource-configs/unique_key.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-configs/unique_key.md b/website/docs/reference/resource-configs/unique_key.md
index ac2e08ec61a..c27ec2edd75 100644
--- a/website/docs/reference/resource-configs/unique_key.md
+++ b/website/docs/reference/resource-configs/unique_key.md
@@ -190,7 +190,7 @@ from {{ source('erp', 'transactions') }}
 
 </File>
 
-In this example, we create an ephemeral model `transaction_items_ephemeral` that creates the unique key id, and then references it in our snapshot.
+In this example, we create an ephemeral model `transaction_items_ephemeral` that creates an `id` column that can be used as the `unique_key` our snapshot configuration.
 
 </VersionBlock>
 

From 18826b78c44cf02dbd2580eba0d740aeea08677c Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 15:44:44 +0100
Subject: [PATCH 147/200] Update
 website/docs/reference/resource-configs/updated_at.md

Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 website/docs/reference/resource-configs/updated_at.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-configs/updated_at.md b/website/docs/reference/resource-configs/updated_at.md
index 9c15e99c512..0e6ff7c1c79 100644
--- a/website/docs/reference/resource-configs/updated_at.md
+++ b/website/docs/reference/resource-configs/updated_at.md
@@ -145,7 +145,7 @@ Since the `updated_at` configuration only takes a column name, rather than an ex
     ```yaml
     snapshots:
       - name: orders_snapshot
-        relation: {{ ref('staging_orders') }}
+        relation: ref('staging_orders')
         config:
           schema: snapshots
           unique_key: id

From d99fb72cbb0b953a74444449f2e1460a69d39aed Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 15:47:19 +0100
Subject: [PATCH 148/200] Update website/docs/reference/snapshot-configs.md

Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 website/docs/reference/snapshot-configs.md | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index ba924422eb3..f85fad52cb3 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -383,10 +383,9 @@ The following examples demonstrate how to configure snapshots using the `dbt_pro
 
     snapshots:
       - name: orders_snapshot
-        config:
-          persist_docs:
-            relation: true
-            columns: true
+        +persist_docs:
+          relation: true
+          columns: true
     ```
 
     </File>

From 23bb87a215f5ce7f2969287a99ed0f7e31b7824a Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 15:50:16 +0100
Subject: [PATCH 149/200] Update website/docs/reference/snapshot-configs.md

Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 website/docs/reference/snapshot-configs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index f85fad52cb3..6e5dcee0443 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -277,7 +277,7 @@ Note that in Versionless and dbt v1.9 and later, snapshots are defined in an upd
 
 </VersionBlock>
 
-Snapshot configurations are applied hierarchically in the order above.
+Snapshot configurations are applied hierarchically in the order above with higher taking precedence.
 
 ### Examples
 The following examples demonstrate how to configure snapshots using the `dbt_project.yml` file, a `config` block within a snapshot, and a `.yml` file.

From 2dbdeedc5d8550f934c4dca1c1e3b1607b72e7f5 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 15:50:56 +0100
Subject: [PATCH 150/200] Update website/docs/reference/snapshot-configs.md

Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 website/docs/reference/snapshot-configs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index 6e5dcee0443..c61a94026cd 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -270,7 +270,7 @@ Snapshots can be configured in multiple ways:
 <VersionBlock lastVersion="1.8">
 
 1. Defined in YAML files using a `config` [resource property](/reference/model-properties), typically in your [snapshots directory](/reference/project-configs/snapshot-paths) (available in [Versionless](/docs/dbt-versions/versionless-cloud) or and dbt Core v1.9 and higher).
-2. Using a `config` block within a snapshot
+2. Using a `config` block within a snapshot defined in Jinja SQL
 3. From the `dbt_project.yml` file, under the `snapshots:` key. To apply a configuration to a snapshot, or directory of snapshots, define the resource path as nested dictionary keys.
 
 Note that in Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).

From 4882c6682733923cfff7e7d1dde4edd0fd21dbcf Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 15:51:11 +0100
Subject: [PATCH 151/200] Update website/docs/reference/snapshot-configs.md

Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 website/docs/reference/snapshot-configs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index c61a94026cd..559ddc35fac 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -232,7 +232,7 @@ snapshots:
 
 <VersionBlock firstVersion="1.9">
 
-Configurations can be applied to snapshots using the more performant [YAML syntax](/docs/build/snapshots), aavilable in Versionless and dbt v1.9 and higher, in the the `snapshot` directory file.
+Configurations can be applied to snapshots using [YAML syntax](/docs/build/snapshots), available in Versionless and dbt v1.9 and higher, in the the `snapshot` directory file.
 
 </VersionBlock>
 

From 7906a09e743202d46faa259005a618416dab9ff4 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 15:55:48 +0100
Subject: [PATCH 152/200] Update website/docs/reference/snapshot-configs.md

Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 website/docs/reference/snapshot-configs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index 559ddc35fac..ff8d522075e 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -120,7 +120,7 @@ snapshots:
 
 <TabItem value="config-resource">
 
-<VersionBlock firsttVersion="1.9">
+<VersionBlock firstVersion="1.9">
 
 Configurations can be applied to snapshots using the more performant [YAML syntax](/docs/build/snapshots), aavilable in Versionless and dbt v1.9 and higher, in the the `snapshot` directory file.
 

From ffc8b3f21577f72e05d3fe796182a22cecae613a Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 15:56:05 +0100
Subject: [PATCH 153/200] Update website/docs/reference/snapshot-configs.md

Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 website/docs/reference/snapshot-configs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index ff8d522075e..fed2441cc69 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -122,7 +122,7 @@ snapshots:
 
 <VersionBlock firstVersion="1.9">
 
-Configurations can be applied to snapshots using the more performant [YAML syntax](/docs/build/snapshots), aavilable in Versionless and dbt v1.9 and higher, in the the `snapshot` directory file.
+Configurations can be applied to snapshots using [YAML syntax](/docs/build/snapshots), available in Versionless and dbt v1.9 and higher, in the the `snapshot` directory file.
 
 </VersionBlock>
 

From 1acf18b6b7d1eeddf5aa70193ea4e41f061abe90 Mon Sep 17 00:00:00 2001
From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com>
Date: Thu, 3 Oct 2024 08:22:49 -0700
Subject: [PATCH 154/200] GA of Compare changes feature (#6196)

## What are you changing in this pull request and why?

Advanced CI / Compare changes feature is moving from Preview to GA
status.

- Updated CI jobs page
- Updated Advanced CI page
- Updated Compare changes tab in the Run visibility page
- Updated Accounts settings page related to Adv CI

## Checklist
- [x] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [x] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [x] Need PM review

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
---
 website/docs/docs/cloud/account-settings.md | 2 +-
 website/docs/docs/deploy/advanced-ci.md     | 6 +++---
 website/docs/docs/deploy/ci-jobs.md         | 6 +++---
 website/docs/docs/deploy/run-visibility.md  | 2 +-
 4 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/website/docs/docs/cloud/account-settings.md b/website/docs/docs/cloud/account-settings.md
index 6d35da3b5f3..3b2632c8747 100644
--- a/website/docs/docs/cloud/account-settings.md
+++ b/website/docs/docs/cloud/account-settings.md
@@ -39,7 +39,7 @@ To use, select the **Enable partial parsing between deployment runs** option fro
 
 <Lightbox src="/img/docs/deploy/example-account-settings.png" width="85%" title="Example of the Enable partial parsing between deployment runs option" />
 
-## Account access to Advanced CI features <Lifecycle status="beta" />
+## Account access to Advanced CI features <Lifecycle status="enterprise" />
 
 [Advanced CI](/docs/deploy/advanced-ci) features, such as [compare changes](/docs/deploy/advanced-ci#compare-changes), allow dbt Cloud account members to view details about the changes between what's in the production environment and the pull request.
 
diff --git a/website/docs/docs/deploy/advanced-ci.md b/website/docs/docs/deploy/advanced-ci.md
index 941591c3367..6213e475be6 100644
--- a/website/docs/docs/deploy/advanced-ci.md
+++ b/website/docs/docs/deploy/advanced-ci.md
@@ -5,12 +5,12 @@ sidebar_label: "Advanced CI"
 description: "Advanced CI enables developers to compare changes by demonstrating the changes the code produces."
 ---
 
-# Advanced CI <Lifecycle status="preview" />
+# Advanced CI <Lifecycle status="enterprise"/>
 
 [Continuous integration workflows](/docs/deploy/continuous-integration) help increase the governance and improve the quality of the data. Additionally for these CI jobs, you can use Advanced CI features, such as [compare changes](#compare-changes), that provide details about the changes between what's currently in your production environment and the pull request's latest commit, giving you observability into how data changes are affected by your code changes. By analyzing the data changes that code changes produce, you can ensure you're always shipping trustworthy data products as you're developing.
 
-:::tip Preview feature
-The compare changes feature is currently available as a [preview](/docs/dbt-versions/product-lifecycles#dbt-cloud) in dbt Cloud. dbt Labs plans to provide additional Advanced CI features in the near future. More info coming soon.
+:::tip More features
+dbt Labs plans to provide additional Advanced CI features in the near future. More info coming soon.
 
 :::
 
diff --git a/website/docs/docs/deploy/ci-jobs.md b/website/docs/docs/deploy/ci-jobs.md
index 420672c9595..cd04d1f4035 100644
--- a/website/docs/docs/deploy/ci-jobs.md
+++ b/website/docs/docs/deploy/ci-jobs.md
@@ -15,8 +15,8 @@ dbt Labs recommends that you create your CI job in a dedicated dbt Cloud [deploy
 - CI features:
    - For both the [concurrent CI checks](/docs/deploy/continuous-integration#concurrent-ci-checks) and [smart cancellation of stale builds](/docs/deploy/continuous-integration#smart-cancellation) features, your dbt Cloud account must be on the [Team or Enterprise plan](https://www.getdbt.com/pricing/).
    - The [SQL linting](/docs/deploy/continuous-integration#sql-linting) feature is currently available in beta to a limited group of users and is gradually being rolled out. If you're in the beta, the **Linting** option is available for use. 
-- [Advanced CI](/docs/deploy/advanced-ci) features:<Lifecycle status="preview" />
-   - For the [compare changes](/docs/deploy/advanced-ci#compare-changes) feature, your dbt Cloud account must have access to Advanced CI. Please ask your [dbt Cloud administrator to enable](/docs/cloud/account-settings#account-access-to-advanced-ci-features) this for you.
+- [Advanced CI](/docs/deploy/advanced-ci) features:
+   - For the [compare changes](/docs/deploy/advanced-ci#compare-changes) feature, your dbt Cloud account must be on the [Enterprise plan](https://www.getdbt.com/pricing/) and have enabled Advanced CI features. Please ask your [dbt Cloud administrator to enable](/docs/cloud/account-settings#account-access-to-advanced-ci-features) this feauture for you. After enablement, the **Run compare changes** option becomes available in the CI job settings.
 - Set up a [connection with your Git provider](/docs/cloud/git/git-configuration-in-dbt-cloud). This integration lets dbt Cloud run jobs on your behalf for job triggering.
    - If you're using a native [GitLab](/docs/cloud/git/connect-gitlab) integration, you need a paid or self-hosted account that includes support for GitLab webhooks and [project access tokens](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html). If you're using GitLab Free, merge requests will trigger CI jobs but CI job status updates (success or failure of the job) will not be reported back to GitLab.
 
@@ -37,7 +37,7 @@ To make CI job creation easier, many options on the **CI job** page are set to d
 1. Options in the **Execution settings** section:
     - **Commands** &mdash; By default, it includes the `dbt build --select state:modified+` command. This informs dbt Cloud to build only new or changed models and their downstream dependents. Importantly, state comparison can only happen when there is a deferred environment selected to compare state to. Click **Add command** to add more [commands](/docs/deploy/job-commands)  that you want to be invoked when this job runs.
     - **Linting**<Lifecycle status="beta" /> &mdash; Enable this option for dbt to [lint the SQL files](/docs/deploy/continuous-integration#sql-linting) in your project as the first step in `dbt run`. If this check runs into an error, dbt can either **Fail job run** or **Continue running job**. 
-    - **Run compare changes**<Lifecycle status="preview" /> &mdash; Enable this option to compare the last applied state of the production environment (if one exists) with the latest changes from the pull request, and identify what those differences are. To enable record-level comparison and primary key analysis, you must add a [primary key constraint](/reference/resource-properties/constraints) or [uniqueness test](/reference/resource-properties/data-tests#unique). Otherwise, you'll receive a "Primary key missing" error message in dbt Cloud.
+    - **Run compare changes**<Lifecycle status="enterprise" /> &mdash; Enable this option to compare the last applied state of the production environment (if one exists) with the latest changes from the pull request, and identify what those differences are. To enable record-level comparison and primary key analysis, you must add a [primary key constraint](/reference/resource-properties/constraints) or [uniqueness test](/reference/resource-properties/data-tests#unique). Otherwise, you'll receive a "Primary key missing" error message in dbt Cloud.
     
       To review the comparison report, navigate to the [Compare tab](/docs/deploy/run-visibility#compare-tab) in the job run's details. A summary of the report is also available from the pull request in your Git provider (see the [CI report example](#example-ci-report)). 
     - **Compare changes against an environment (Deferral)** &mdash; By default, it’s set to the **Production** environment if you created one. This option allows dbt Cloud to check the state of the code in the PR against the code running in the deferred environment, so as to only check the modified code, instead of building the full table or the entire DAG.
diff --git a/website/docs/docs/deploy/run-visibility.md b/website/docs/docs/deploy/run-visibility.md
index d883b2cfaa0..255882d066f 100644
--- a/website/docs/docs/deploy/run-visibility.md
+++ b/website/docs/docs/deploy/run-visibility.md
@@ -55,7 +55,7 @@ This provides a list of the artifacts generated by the job run. The files are sa
 
 <Lightbox src="/img/docs/dbt-cloud/example-artifacts-tab.png" width="85%" title="Example of the Artifacts tab" />
 
-### Compare tab <Lifecycle status="preview"/>
+### Compare tab <Lifecycle status="enterprise" />
 
 The **Compare** tab is shown for [CI job runs](/docs/deploy/ci-jobs) with the **Run compare changes** setting enabled. It displays details about [the changes from the comparison dbt performed](/docs/deploy/advanced-ci#compare-changes) between what's in your production environment and the pull request. To help you better visualize the differences, dbt Cloud highlights changes to your models in red (deletions) and green (inserts).
 

From af60e0d6521cbf27fc36681f8ee2f356f8068d2d Mon Sep 17 00:00:00 2001
From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
Date: Thu, 3 Oct 2024 09:55:21 -0600
Subject: [PATCH 155/200] Remove the patch level from dbt Cloud version numbers
 (#6232)

[Preview](https://docs-getdbt-com-git-dbeatty10-patch-3-dbt-labs.vercel.app/reference/global-configs/behavior-changes#behavior-change-flags)

## What are you changing in this pull request and why?

These changes were originally in
https://github.com/dbt-labs/docs.getdbt.com/pull/6204, but easier to
code review by splitting into its own PR.

## Checklist
- [x] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
---
 website/docs/reference/global-configs/behavior-changes.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/website/docs/reference/global-configs/behavior-changes.md b/website/docs/reference/global-configs/behavior-changes.md
index 4ab4a0f20f4..5bec84327c6 100644
--- a/website/docs/reference/global-configs/behavior-changes.md
+++ b/website/docs/reference/global-configs/behavior-changes.md
@@ -64,10 +64,10 @@ When we use dbt Cloud in the following table, we're referring to accounts that h
 
 | Flag                                                            | dbt Cloud: Intro | dbt Cloud: Maturity | dbt Core: Intro | dbt Core: Maturity | 
 |-----------------------------------------------------------------|------------------|---------------------|-----------------|--------------------|
-| require_explicit_package_overrides_for_builtin_materializations | 2024.04.141      | 2024.06.192         | 1.6.14, 1.7.14  | 1.8.0             |
-| require_resource_names_without_spaces                           | 2024.05.146      | TBD*                | 1.8.0           | 1.9.0             |
-| source_freshness_run_project_hooks                              | 2024.03.61       | TBD*                | 1.8.0           | 1.9.0             |
-| [Redshift] [restrict_direct_pg_catalog_access](#redshift-restrict_direct_pg_catalog_access)    | 2024.09.242      | TBD*                | dbt-redshift v1.9.0           | 1.9.0             |
+| require_explicit_package_overrides_for_builtin_materializations | 2024.04          | 2024.06             | 1.6.14, 1.7.14  | 1.8.0             |
+| require_resource_names_without_spaces                           | 2024.05          | TBD*                | 1.8.0           | 1.9.0             |
+| source_freshness_run_project_hooks                              | 2024.03          | TBD*                | 1.8.0           | 1.9.0             |
+| [Redshift] [restrict_direct_pg_catalog_access](#redshift-restrict_direct_pg_catalog_access)    | 2024.09          | TBD*                | dbt-redshift v1.9.0           | 1.9.0             |
 
 When the dbt Cloud Maturity is "TBD," it means we have not yet determined the exact date when these flags' default values will change. Affected users will see deprecation warnings in the meantime, and they will receive emails providing advance warning ahead of the maturity date. In the meantime, if you are seeing a deprecation warning, you can either:
 - Migrate your project to support the new behavior, and then set the flag to `True` to stop seeing the warnings.

From dfa67f9fbc7d358dc7b272f17e0581bf95daedd5 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 3 Oct 2024 16:58:22 +0100
Subject: [PATCH 156/200] doug's feedback

---
 website/docs/reference/resource-configs/check_cols.md |  5 ++---
 .../resource-configs/invalidate_hard_deletes.md       |  5 ++---
 .../reference/resource-configs/pre-hook-post-hook.md  |  1 -
 .../docs/reference/resource-configs/snapshot_name.md  |  5 ++---
 website/docs/reference/resource-configs/strategy.md   |  6 ++----
 website/docs/reference/resource-configs/unique_key.md | 11 +++++++----
 website/docs/reference/resource-configs/updated_at.md |  5 ++---
 website/docs/reference/snapshot-configs.md            |  7 ++++---
 website/snippets/_snapshot-yaml-spec.md               |  4 ++++
 9 files changed, 25 insertions(+), 24 deletions(-)
 create mode 100644 website/snippets/_snapshot-yaml-spec.md

diff --git a/website/docs/reference/resource-configs/check_cols.md b/website/docs/reference/resource-configs/check_cols.md
index 9230a0b10ed..f7c6b85d372 100644
--- a/website/docs/reference/resource-configs/check_cols.md
+++ b/website/docs/reference/resource-configs/check_cols.md
@@ -24,10 +24,9 @@ datatype: "[column_name] | all"
 
 <VersionBlock lastVersion="1.8">
 
-:::info Use the latest snapshot syntax
+import SnapshotYaml from '/snippets/_snapshot-yaml-spec.md';
 
-In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
-:::
+<SnapshotYaml/>
 
 <File name='snapshots/<filename>.sql'>
 
diff --git a/website/docs/reference/resource-configs/invalidate_hard_deletes.md b/website/docs/reference/resource-configs/invalidate_hard_deletes.md
index 94fa40ade9d..bdaec7e33a9 100644
--- a/website/docs/reference/resource-configs/invalidate_hard_deletes.md
+++ b/website/docs/reference/resource-configs/invalidate_hard_deletes.md
@@ -25,10 +25,9 @@ snapshots:
 
 <VersionBlock lastVersion="1.8">
 
-:::info Use the latest snapshot syntax
+import SnapshotYaml from '/snippets/_snapshot-yaml-spec.md';
 
-In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
-:::
+<SnapshotYaml/>
 
 <File name='snapshots/<filename>.sql'>
 
diff --git a/website/docs/reference/resource-configs/pre-hook-post-hook.md b/website/docs/reference/resource-configs/pre-hook-post-hook.md
index 4e8e470be54..ce818768134 100644
--- a/website/docs/reference/resource-configs/pre-hook-post-hook.md
+++ b/website/docs/reference/resource-configs/pre-hook-post-hook.md
@@ -135,7 +135,6 @@ select ...
 snapshots:
   - name: [<snapshot_name>]
     [config](/reference/resource-properties/config):
-      [<snapshot_config>](/reference/snapshot-configs): <config_value>
       [pre_hook](/reference/resource-configs/pre-hook-post-hook): <sql-statement> | [<sql-statement>]
       [post_hook](/reference/resource-configs/pre-hook-post-hook): <sql-statement> | [<sql-statement>]
 ```
diff --git a/website/docs/reference/resource-configs/snapshot_name.md b/website/docs/reference/resource-configs/snapshot_name.md
index a3ce6cbd63b..62480ac3f84 100644
--- a/website/docs/reference/resource-configs/snapshot_name.md
+++ b/website/docs/reference/resource-configs/snapshot_name.md
@@ -34,10 +34,9 @@ snapshots:
 
 </File>
 
-:::info Use the latest snapshot syntax
+import SnapshotYaml from '/snippets/_snapshot-yaml-spec.md';
 
-In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
-:::
+<SnapshotYaml/>
 
 </VersionBlock>
 
diff --git a/website/docs/reference/resource-configs/strategy.md b/website/docs/reference/resource-configs/strategy.md
index daffb4a6eef..e2b2cac1c59 100644
--- a/website/docs/reference/resource-configs/strategy.md
+++ b/website/docs/reference/resource-configs/strategy.md
@@ -6,10 +6,9 @@ datatype: timestamp | check
 
 <VersionBlock lastVersion="1.8">
 
-:::info Use the latest snapshot syntax
+import SnapshotYaml from '/snippets/_snapshot-yaml-spec.md';
 
-In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
-:::
+<SnapshotYaml/>
 </VersionBlock>
 
 <Tabs
@@ -179,7 +178,6 @@ snapshots:
 <File name='snapshots/check_example.yml'>
 
 ```yaml
-# snapshots/check_example.yml
 snapshots:
   - name: orders_snapshot_check
     relation: source('jaffle_shop', 'orders')
diff --git a/website/docs/reference/resource-configs/unique_key.md b/website/docs/reference/resource-configs/unique_key.md
index c27ec2edd75..996e7148292 100644
--- a/website/docs/reference/resource-configs/unique_key.md
+++ b/website/docs/reference/resource-configs/unique_key.md
@@ -23,10 +23,9 @@ snapshots:
 
 <VersionBlock lastVersion="1.8">
 
-:::info Use the latest snapshot syntax
+import SnapshotYaml from '/snippets/_snapshot-yaml-spec.md';
 
-In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
-:::
+<SnapshotYaml/>
 
 <File name='snapshots/<filename>.sql'>
 
@@ -177,8 +176,12 @@ snapshots:
       unique_key: id
       strategy: timestamp
       updated_at: updated_at
+```
+</File>
+
+<File name='models/transaction_items_ephemeral.sql'>
 
-# models/transaction_items_ephemeral.sql
+```sql
 {{ config(materialized='ephemeral') }}
 
 select
diff --git a/website/docs/reference/resource-configs/updated_at.md b/website/docs/reference/resource-configs/updated_at.md
index 0e6ff7c1c79..09122859e43 100644
--- a/website/docs/reference/resource-configs/updated_at.md
+++ b/website/docs/reference/resource-configs/updated_at.md
@@ -22,10 +22,9 @@ snapshots:
 
 <VersionBlock lastVersion="1.8">
 
-:::info Use the latest snapshot syntax
+import SnapshotYaml from '/snippets/_snapshot-yaml-spec.md';
 
-In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
-:::
+<SnapshotYaml/>
 
 <File name='snapshots/<filename>.sql'>
 
diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index fed2441cc69..87063ce592e 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -20,15 +20,16 @@ Parts of a snapshot:
 -->
 
 ## Available configurations
+### Snapshot-specific configurations
 
 <ConfigResource meta={frontMatter.meta} />
 
 <VersionBlock lastVersion="1.8">
 
-:::info Use the latest snapshot syntax
+import SnapshotYaml from '/snippets/_snapshot-yaml-spec.md';
+
+<SnapshotYaml/>
 
-In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
-:::
 </VersionBlock>
 
 <Tabs
diff --git a/website/snippets/_snapshot-yaml-spec.md b/website/snippets/_snapshot-yaml-spec.md
new file mode 100644
index 00000000000..8bbdc6be72e
--- /dev/null
+++ b/website/snippets/_snapshot-yaml-spec.md
@@ -0,0 +1,4 @@
+:::info Use the latest snapshot syntax
+
+In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
+:::

From cfb296bc0282296e9677202cdf82648591641974 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 3 Oct 2024 17:02:11 +0100
Subject: [PATCH 157/200] add file name

---
 website/docs/docs/build/snapshots.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index 3145dfcce62..6b839387e80 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -112,12 +112,14 @@ To add a snapshot to your project follow these steps. For users on versions 1.8
 
 2. Since snapshots focus on configuration, the transformation logic is minimal. Typically, you'd select all data from the source. If you need to apply transformations (like filters, deduplication), it's best practice to define an ephemeral model and reference it in your snapshot configuration.
 
+    <File name="models/ephemeral_orders.sql" />
+
     ```yaml
-    -- models/ephemeral_orders.sql
     {{ config(materialized='ephemeral') }}
 
     select * from {{ source('jaffle_shop', 'orders') }}
     ```
+    </File>
 
 3. Check whether the result set of your query includes a reliable timestamp column that indicates when a record was last updated. For our example, the `updated_at` column reliably indicates record changes, so we can use the `timestamp` strategy. If your query result set does not have a reliable timestamp, you'll need to instead use the `check` strategy — more details on this below.
 

From ab15fe13ca7eb46c3abe288351c57444c4dc2b87 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 3 Oct 2024 17:09:07 +0100
Subject: [PATCH 158/200] fix close tag

---
 website/docs/docs/build/snapshots.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index 6b839387e80..94b722dfe29 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -112,7 +112,7 @@ To add a snapshot to your project follow these steps. For users on versions 1.8
 
 2. Since snapshots focus on configuration, the transformation logic is minimal. Typically, you'd select all data from the source. If you need to apply transformations (like filters, deduplication), it's best practice to define an ephemeral model and reference it in your snapshot configuration.
 
-    <File name="models/ephemeral_orders.sql" />
+    <File name="models/ephemeral_orders.sql" >
 
     ```yaml
     {{ config(materialized='ephemeral') }}

From fa7bf155cb30356976ff1993cb88dcde45750f03 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Thu, 3 Oct 2024 17:17:41 +0100
Subject: [PATCH 159/200] update lifecycle

---
 website/docs/docs/collaborate/explore-projects.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/collaborate/explore-projects.md b/website/docs/docs/collaborate/explore-projects.md
index 9e27c2afa47..ab7576a9e8f 100644
--- a/website/docs/docs/collaborate/explore-projects.md
+++ b/website/docs/docs/collaborate/explore-projects.md
@@ -20,7 +20,7 @@ import ExplorerCourse from '/snippets/_explorer-course-link.md';
 - You have at least one successful job run in the deployment environment. Note that [CI jobs](/docs/deploy/ci-jobs) do not update dbt Explorer.
 - You are on the dbt Explorer page. To do this, select **Explore** from the navigation in dbt Cloud.
 
-## Overview page 
+## Overview page <Lifecycle status="preview">
 
 Navigate the dbt Explorer overview page to access your project's resources and metadata. The page includes the following sections:
 

From 3ee6cb902e9d1e7d188f8616a06c4b940763fa11 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 17:21:41 +0100
Subject: [PATCH 160/200] Update
 website/docs/docs/collaborate/explore-projects.md

---
 website/docs/docs/collaborate/explore-projects.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/collaborate/explore-projects.md b/website/docs/docs/collaborate/explore-projects.md
index ab7576a9e8f..a4388a8696e 100644
--- a/website/docs/docs/collaborate/explore-projects.md
+++ b/website/docs/docs/collaborate/explore-projects.md
@@ -20,7 +20,7 @@ import ExplorerCourse from '/snippets/_explorer-course-link.md';
 - You have at least one successful job run in the deployment environment. Note that [CI jobs](/docs/deploy/ci-jobs) do not update dbt Explorer.
 - You are on the dbt Explorer page. To do this, select **Explore** from the navigation in dbt Cloud.
 
-## Overview page <Lifecycle status="preview">
+## Overview page <Lifecycle status="preview" />
 
 Navigate the dbt Explorer overview page to access your project's resources and metadata. The page includes the following sections:
 

From 39ca60b1138df3debd07bccec3f2c5f8c6882d64 Mon Sep 17 00:00:00 2001
From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com>
Date: Thu, 3 Oct 2024 13:07:33 -0400
Subject: [PATCH 161/200] New behavior changes (#6204)

## What are you changing in this pull request and why?

Closes https://github.com/dbt-labs/docs.getdbt.com/issues/6172
Closes https://github.com/dbt-labs/docs.getdbt.com/issues/6185

[Preview of behavior changes
page](https://docs-getdbt-com-git-hook-change-dbt-labs.vercel.app/reference/global-configs/behavior-changes)

## Checklist
- [ ] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [ ] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [ ] I have added checklist item(s) to this list for anything anything
that needs to happen before this PR is merged, such as "needs technical
review" or "change base branch."
<!--
PRE-RELEASE VERSION OF dbt (if so, uncomment):
- [ ] Add a note to the prerelease version [Migration
Guide](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/core-upgrade)
-->
<!--
ADDING OR REMOVING PAGES (if so, uncomment):
- [ ] Add/remove page in `website/sidebars.js`
- [ ] Provide a unique filename for new pages
- [ ] Add an entry for deleted pages in `website/vercel.json`
- [ ] Run link testing locally with `npm run build` to update the links
that point to deleted pages
-->

---------

Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com>
Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 .../docs/docs/dbt-versions/release-notes.md    |  2 ++
 .../global-configs/behavior-changes.md         | 18 +++++++++++++++++-
 2 files changed, 19 insertions(+), 1 deletion(-)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index 0d1668c959f..0f8867edc5a 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -20,6 +20,8 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 
 ## October 2024
 
+- **Behavior change:** Set [`state_modified_compare_more_unrendered`](/reference/global-configs/behavior-changes#source-definitions-for-state) to true to reduce false positives for `state:modified` when configs differ between `dev` and `prod` environments.
+- **Behavior change:** Set the [`skip_nodes_if_on_run_start_fails`](/reference/global-configs/behavior-changes#failures-in-on-run-start-hooks) flag to `True` to skip all selected resources from running if there is a failure on an `on-run-start` hook.
 - **Enhancement**: In dbt Cloud Versionless, snapshots defined in SQL files can now use `config` defined in `schema.yml` YAML files. This update resolves the previous limitation that required snapshot properties to be defined exclusively in `dbt_project.yml` and/or a `config()` block within the SQL file. This enhancement will be included in the upcoming dbt Core v1.9 release.
 - **Enhancement**: In May 2024, dbt Cloud versionless began inferring a model's `primary_key` based on configured data tests and/or constraints within `manifest.json`. The inferred `primary_key` is visible in dbt Explorer and utilized by the dbt Cloud [compare changes](/docs/deploy/run-visibility#compare-tab) feature. This will also be released in dbt Core 1.9.
 Read about the [order dbt infers columns can be used as primary key of a model](https://github.com/dbt-labs/dbt-core/blob/7940ad5c7858ff11ef100260a372f2f06a86e71f/core/dbt/contracts/graph/nodes.py#L534-L541). 
diff --git a/website/docs/reference/global-configs/behavior-changes.md b/website/docs/reference/global-configs/behavior-changes.md
index 5bec84327c6..01b71aa6976 100644
--- a/website/docs/reference/global-configs/behavior-changes.md
+++ b/website/docs/reference/global-configs/behavior-changes.md
@@ -68,11 +68,28 @@ When we use dbt Cloud in the following table, we're referring to accounts that h
 | require_resource_names_without_spaces                           | 2024.05          | TBD*                | 1.8.0           | 1.9.0             |
 | source_freshness_run_project_hooks                              | 2024.03          | TBD*                | 1.8.0           | 1.9.0             |
 | [Redshift] [restrict_direct_pg_catalog_access](#redshift-restrict_direct_pg_catalog_access)    | 2024.09          | TBD*                | dbt-redshift v1.9.0           | 1.9.0             |
+| skip_nodes_if_on_run_start_fails                                | 2024.10          | TBD*                | 1.9.0           | TBD*              |
+| state_modified_compare_more_unrendered                          | 2024.10          | TBD*                | 1.9.0           | TBD*              |
 
 When the dbt Cloud Maturity is "TBD," it means we have not yet determined the exact date when these flags' default values will change. Affected users will see deprecation warnings in the meantime, and they will receive emails providing advance warning ahead of the maturity date. In the meantime, if you are seeing a deprecation warning, you can either:
 - Migrate your project to support the new behavior, and then set the flag to `True` to stop seeing the warnings.
 - Set the flag to `False`. You will continue to see warnings, and you will retain the legacy behavior even after the maturity date (when the default value changes).
 
+### Failures in on-run-start hooks
+
+The flag is `False` by default.
+
+Set the `skip_nodes_if_on_run_start_fails` flag to `True` to skip all selected resources from running if there is a failure on an `on-run-start` hook. 
+
+### Source definitions for state:modified
+
+The flag is `False` by default.
+
+Set `state_modified_compare_more_unrendered` to `True` to reduce false positives during `state:modified` checks (especially when configs differ by target environment like `prod` vs. `dev`).
+
+Setting the flag to `True` changes the `state:modified` comparison from using rendered values to unrendered values instead. It accomplishes this by persisting `unrendered_config` during model parsing and `unrendered_database` and `unrendered_schema` configs during source parsing.
+
+
 ###  Package override for built-in materialization 
 
 Setting the `require_explicit_package_overrides_for_builtin_materializations` flag to `True` prevents this automatic override. 
@@ -128,4 +145,3 @@ on-run-start:
   - '{{ ... if flags.WHICH != 'freshness' }}'
 ```
 </File>
-

From 271eb62c37114ffa8d08db1f481d2d3a4d3900e7 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 18:15:03 +0100
Subject: [PATCH 162/200] Update website/docs/docs/build/snapshots.md

---
 website/docs/docs/build/snapshots.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index 94b722dfe29..bcb65bd7810 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -52,7 +52,7 @@ It is not possible to "preview data" or "compile sql" for snapshots in dbt Cloud
 
 <VersionBlock firstVersion="1.9">
 
-In dbt versions 1.9 and later, snapshots are configurations defined in YAML files (typically in your snapshots directory). You'll configure your snapshot to tell dbt how to detect record changes.
+In dbt Cloud Versionless and dbt Core v1.9 and later, snapshots are configurations defined in YAML files (typically in your snapshots directory). You'll configure your snapshot to tell dbt how to detect record changes.
 
 <File name='snapshots/orders_snapshot.yml'>
   

From f90259fadc99b284f51add4c088425dea9e9dbf3 Mon Sep 17 00:00:00 2001
From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
Date: Thu, 3 Oct 2024 11:36:27 -0600
Subject: [PATCH 163/200] New `snapshot_meta_column_names` config for dbt
 snapshots (#6211)

Resolves https://github.com/dbt-labs/docs.getdbt.com/issues/6112

## What are you changing in this pull request and why?

In Versionless and dbt v1.9, we have a new `snapshot_meta_column_names`
config for dbt snapshots that allows for customizing the [column names
of the snapshot meta
fields](https://docs.getdbt.com/docs/build/snapshots#snapshot-meta-fields)
(`dbt_valid_from`, `dbt_valid_to`, `dbt_scd_id`, `dbt_updated_at`) to
align with team or organizational conventions.

For example, they can now have _whichever_ column names you choose
(e.g., `valid_start`, `valid_end`, `scd_identifier`, `last_modified`).

## Previews

-
[`snapshot_meta_column_names`](https://docs-getdbt-com-git-dbeatty10-patch-1-dbt-labs.vercel.app/reference/resource-configs/snapshot_meta_column_names)
- [Snapshot
configurations](https://docs-getdbt-com-git-dbeatty10-patch-1-dbt-labs.vercel.app/reference/snapshot-configs#snapshot-specific-configurations)
- [Snapshot
meta-fields](https://docs-getdbt-com-git-dbeatty10-patch-1-dbt-labs.vercel.app/docs/build/snapshots#snapshot-meta-fields)
- [dbt Cloud release
notes](https://docs-getdbt-com-git-dbeatty10-patch-1-dbt-labs.vercel.app/docs/dbt-versions/dbt-cloud-release-notes#october-2024)

## Checklist
- [x] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [x] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [x] Add a note to the [release
notes](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/release-notes.md)
- [ ] Add a note to the prerelease version [Migration
Guide](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/core-upgrade)
- [x] Add page in `website/sidebars.js`
- [x] Provide a unique filename for new pages

---------

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com>
Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com>
---
 website/dbt-versions.js                       |   4 +
 website/docs/docs/build/snapshots.md          |   2 +
 .../docs/docs/dbt-versions/release-notes.md   |   2 +-
 .../snapshot_meta_column_names.md             | 109 ++++++++++++++++++
 website/docs/reference/snapshot-configs.md    |   3 +
 website/sidebars.js                           |   1 +
 6 files changed, 120 insertions(+), 1 deletion(-)
 create mode 100644 website/docs/reference/resource-configs/snapshot_meta_column_names.md

diff --git a/website/dbt-versions.js b/website/dbt-versions.js
index 60efef64f75..d253829c0b7 100644
--- a/website/dbt-versions.js
+++ b/website/dbt-versions.js
@@ -42,6 +42,10 @@ exports.versions = [
  * @property {string} lastVersion The last version the page is visible in the sidebar
  */
 exports.versionedPages = [
+  {
+    page: "reference/resource-configs/snapshot_meta_column_names",
+    firstVersion: "1.9",
+  },
   {
     page: "reference/resource-configs/target_database",
     lastVersion: "1.8",
diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index bcb65bd7810..c17350ab368 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -409,6 +409,8 @@ Basically – keep your query as simple as possible! Some reasonable exceptions
 
 Snapshot <Term id="table">tables</Term> will be created as a clone of your source dataset, plus some additional meta-fields*.
 
+Starting in 1.9 or with [dbt Cloud Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless), these column names can be customized to your team or organizational conventions via the [`snapshot_meta_column_names`](/reference/resource-configs/snapshot_meta_column_names) config.
+
 | Field          | Meaning | Usage |
 | -------------- | ------- | ----- |
 | dbt_valid_from | The timestamp when this snapshot row was first inserted | This column can be used to order the different "versions" of a record. |
diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index d8ac119deb8..2e23d394228 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -26,12 +26,12 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 - **Behavior change:** Set [`state_modified_compare_more_unrendered`](/reference/global-configs/behavior-changes#source-definitions-for-state) to true to reduce false positives for `state:modified` when configs differ between `dev` and `prod` environments.
 - **Behavior change:** Set the [`skip_nodes_if_on_run_start_fails`](/reference/global-configs/behavior-changes#failures-in-on-run-start-hooks) flag to `True` to skip all selected resources from running if there is a failure on an `on-run-start` hook.
 - **Enhancement**: In dbt Cloud Versionless, snapshots defined in SQL files can now use `config` defined in `schema.yml` YAML files. This update resolves the previous limitation that required snapshot properties to be defined exclusively in `dbt_project.yml` and/or a `config()` block within the SQL file. This enhancement will be included in the upcoming dbt Core v1.9 release.
+- **New**: In dbt Cloud Versionless, the `snapshot_meta_column_names` config allows for customizing the snapshot metadata columns. This feature allows an organization to align these automatically-generated column names with their conventions, and will be included in the upcoming dbt Core 1.9 release.
 - **Enhancement**: In May 2024, dbt Cloud versionless began inferring a model's `primary_key` based on configured data tests and/or constraints within `manifest.json`. The inferred `primary_key` is visible in dbt Explorer and utilized by the dbt Cloud [compare changes](/docs/deploy/run-visibility#compare-tab) feature. This will also be released in dbt Core 1.9.
 Read about the [order dbt infers columns can be used as primary key of a model](https://github.com/dbt-labs/dbt-core/blob/7940ad5c7858ff11ef100260a372f2f06a86e71f/core/dbt/contracts/graph/nodes.py#L534-L541). 
 - **New:** dbt Explorer now includes trust signal icons, which is currently available as a [Preview](/docs/dbt-versions/product-lifecycles#dbt-cloud). Trust signals offer a quick, at-a-glance view of data health when browsing your dbt models in Explorer. These icons indicate whether a model is **Healthy**, **Caution**, **Degraded**, or **Unknown**. For accurate health data, ensure the resource is up-to-date and has had a recent job run. Refer to [Trust signals](/docs/collaborate/explore-projects#trust-signals-for-resources) for more information. 
 - **New:** Auto exposures are now available in Preview in dbt Cloud. Auto-exposures helps users understand how their models are used in downstream analytics tools to inform investments and reduce incidents. It imports and auto-generates exposures based on Tableau dashboards, with user-defined curation. To learn more, refer to [Auto exposures](/docs/collaborate/auto-exposures).
 
-
 ## September 2024
 
 - **New**: Use the new recommended syntax for [defining `foreign_key` constraints](/reference/resource-properties/constraints) using `refs`, available in dbt Cloud Versionless. This will soon be released in dbt Core v1.9. This new syntax will capture dependencies and works across different environments.
diff --git a/website/docs/reference/resource-configs/snapshot_meta_column_names.md b/website/docs/reference/resource-configs/snapshot_meta_column_names.md
new file mode 100644
index 00000000000..46aba7886d0
--- /dev/null
+++ b/website/docs/reference/resource-configs/snapshot_meta_column_names.md
@@ -0,0 +1,109 @@
+---
+resource_types: [snapshots]
+description: "Snapshot meta column names"
+datatype: "{<dictionary>}"
+default_value: {"dbt_valid_from": "dbt_valid_from", "dbt_valid_to": "dbt_valid_to", "dbt_scd_id": "dbt_scd_id", "dbt_updated_at": "dbt_updated_at"}
+id: "snapshot_meta_column_names"
+---
+
+Starting in 1.9 or with [versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless) dbt Cloud.
+
+<File name='snapshots/schema.yml'>
+
+```yaml
+snapshots:
+  - name: <snapshot_name>
+    config:
+      snapshot_meta_column_names:
+        dbt_valid_from: <string>
+        dbt_valid_to: <string>
+        dbt_scd_id: <string>
+        dbt_updated_at: <string>
+
+```
+
+</File>
+
+<File name='snapshots/<filename>.sql'>
+
+```jinja2
+{{
+    config(
+      snapshot_meta_column_names={
+        "dbt_valid_from": "<string>",
+        "dbt_valid_to": "<string>",
+        "dbt_scd_id": "<string>",
+        "dbt_updated_at": "<string>",
+      }
+    )
+}}
+
+```
+
+</File>
+
+<File name='dbt_project.yml'>
+
+```yml
+snapshots:
+  [<resource-path>](/reference/resource-configs/resource-path):
+    +snapshot_meta_column_names:
+      dbt_valid_from: <string>
+      dbt_valid_to: <string>
+      dbt_scd_id: <string>
+      dbt_updated_at: <string>
+
+```
+
+</File>
+
+## Description
+
+In order to align with an organization's naming conventions, the `snapshot_meta_column_names` config can be used to customize the names of the [metadata columns](/docs/build/snapshots#snapshot-meta-fields) within each snapshot.
+
+## Default
+
+By default, dbt snapshots use the following column names to track change history using [Type 2 slowly changing dimension](https://en.wikipedia.org/wiki/Slowly_changing_dimension#Type_2:_add_new_row) records:
+
+| Field          | Meaning | Notes |
+| -------------- | ------- | ----- |
+| `dbt_valid_from` | The timestamp when this snapshot row was first inserted and became valid. | The value is affected by the [`strategy`](/reference/resource-configs/strategy). |
+| `dbt_valid_to`   | The timestamp when this row is no longer valid. |  |
+| `dbt_scd_id`     | A unique key generated for each snapshot row. | This is used internally by dbt. |
+| `dbt_updated_at` | The `updated_at` timestamp of the source record when this snapshot row was inserted. | This is used internally by dbt. |
+
+However, these column names can be customized using the `snapshot_meta_column_names` config.
+
+:::warning
+
+To avoid any unintentional data modification, dbt will **not** automatically apply any column renames. So if a user applies `snapshot_meta_column_names` config for a snapshot without updating the pre-existing table, they will get an error. We recommend either only using these settings for net-new snapshots, or arranging an update of pre-existing tables prior to committing a column name change.
+
+:::
+
+## Example
+
+<File name='snapshots/schema.yml'>
+
+```yaml
+snapshots:
+  - name: orders_snapshot
+    relation: ref("orders")
+    config:
+      unique_key: id
+      strategy: check
+      check_cols: all
+      snapshot_meta_column_names:
+        dbt_valid_from: start_date
+        dbt_valid_to: end_date
+        dbt_scd_id: scd_id
+        dbt_updated_at: modified_date
+```
+
+</File>
+
+The resulting snapshot table contains the configured meta column names:
+
+| id | scd_id               |        modified_date |           start_date |             end_date |
+| -- | -------------------- | -------------------- | -------------------- | -------------------- |
+|  1 | 60a1f1dbdf899a4dd... | 2024-10-02 ...       | 2024-10-02 ...       | 2024-10-02 ...       |
+|  2 | b1885d098f8bcff51... | 2024-10-02 ...       | 2024-10-02 ...       |                      |
diff --git a/website/docs/reference/snapshot-configs.md b/website/docs/reference/snapshot-configs.md
index 87063ce592e..e867747dc96 100644
--- a/website/docs/reference/snapshot-configs.md
+++ b/website/docs/reference/snapshot-configs.md
@@ -78,6 +78,7 @@ snapshots:
     [+](/reference/resource-configs/plus-prefix)[strategy](/reference/resource-configs/strategy): timestamp | check
     [+](/reference/resource-configs/plus-prefix)[updated_at](/reference/resource-configs/updated_at): <column_name>
     [+](/reference/resource-configs/plus-prefix)[check_cols](/reference/resource-configs/check_cols): [<column_name>] | all
+    [+](/reference/resource-configs/plus-prefix)[snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names): {<dictionary>}
 
 ```
 
@@ -111,6 +112,7 @@ snapshots:
       [strategy](/reference/resource-configs/strategy): timestamp | check
       [updated_at](/reference/resource-configs/updated_at): <column_name>
       [check_cols](/reference/resource-configs/check_cols): [<column_name>] | all
+      [snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names): {<dictionary>}
 
 ```
 </File>
@@ -138,6 +140,7 @@ Configurations can be applied to snapshots using [YAML syntax](/docs/build/snaps
     [strategy](/reference/resource-configs/strategy)="timestamp" | "check",
     [updated_at](/reference/resource-configs/updated_at)="<column_name>",
     [check_cols](/reference/resource-configs/check_cols)=["<column_name>"] | "all"
+    [snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names)={<dictionary>}
 ) }}
 
 ```
diff --git a/website/sidebars.js b/website/sidebars.js
index 771cde10562..540c6264b35 100644
--- a/website/sidebars.js
+++ b/website/sidebars.js
@@ -974,6 +974,7 @@ const sidebarSettings = {
             "reference/resource-configs/unique_key",
             "reference/resource-configs/updated_at",
             "reference/resource-configs/invalidate_hard_deletes",
+            "reference/resource-configs/snapshot_meta_column_names",
           ],
         },
         {

From 8ebdcccaf45b51b46d58e825ffc4068a8b5ea9a6 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 18:43:41 +0100
Subject: [PATCH 164/200] Update release-notes.md

---
 website/docs/docs/dbt-versions/release-notes.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index 874d3b4742b..d915d8dff7c 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -21,6 +21,9 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 ## October 2024
 
 - **New**: The dbt Semantic Layer supports custom calendar configurations in MetricFlow, available in [Preview](/docs/dbt-versions/product-lifecycles#dbt-cloud). Custom calendar configurations allow you to query data using non-standard time periods like `fiscal_year` or `retail_month`. Refer to [custom calendar](/docs/build/metricflow-time-spine#custom-calendar) to learn how to define these custom granularities in your MetricFlow timespine YAML configuration.
+- **New**: In dbt Cloud Versionless, [Snapshots](/docs/build/snapshots) have been updated to use YAML configuration files instead of SQL snapshot blocks. This new feature simplifies snapshot management and improves performance, and will soon be released in dbt Core 1.9.
+  - Who does this affect? New user on Versionless can define snapshots using the new YAML specification. Users upgrading to Versionless who use snapshots can keep their existing configuration or can choose to migrate their snapshot definitions to YAML. 
+  - Users on dbt 1.8 and earlier: No action is needed; existing snapshots will continue to work as before. However, we recommend upgrading to Versionless to take advantage of the new snapshot features.
 - **Enhancement**: In dbt Cloud Versionless, snapshots defined in SQL files can now use `config` defined in `schema.yml` YAML files. This update resolves the previous limitation that required snapshot properties to be defined exclusively in `dbt_project.yml` and/or a `config()` block within the SQL file. This enhancement will be included in the upcoming dbt Core v1.9 release.
 - **Enhancement**: In May 2024, dbt Cloud versionless began inferring a model's `primary_key` based on configured data tests and/or constraints within `manifest.json`. The inferred `primary_key` is visible in dbt Explorer and utilized by the dbt Cloud [compare changes](/docs/deploy/run-visibility#compare-tab) feature. This will also be released in dbt Core 1.9.
 Read about the [order dbt infers columns can be used as primary key of a model](https://github.com/dbt-labs/dbt-core/blob/7940ad5c7858ff11ef100260a372f2f06a86e71f/core/dbt/contracts/graph/nodes.py#L534-L541). 

From 7408f8b1114214ada17208a4530510f52c05e213 Mon Sep 17 00:00:00 2001
From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
Date: Thu, 3 Oct 2024 11:55:48 -0600
Subject: [PATCH 165/200] Remove hyperlink within code example (#6219)

[Preview](https://docs-getdbt-com-git-dbeatty10-patch-2-dbt-labs.vercel.app/docs/build/metrics-overview#filters)

## What are you changing in this pull request and why?

Hyperlink
[here](https://docs.getdbt.com/docs/build/metrics-overview#filters) not
displaying as intended (see screenshot below).


https://github.com/dbt-labs/docs.getdbt.com/pull/6219/commits/c58d510a988a9a6b8303ef8d0bd15377e2cbb674
didn't work, so going to remove the link altogether.

<img width="550" alt="image"
src="https://github.com/user-attachments/assets/f0c9d8b4-b44c-4345-8716-d06568155fe6">


## Checklist
- [x] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.

---------

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/docs/docs/build/metrics-overview.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/build/metrics-overview.md b/website/docs/docs/build/metrics-overview.md
index 38b9b22bdb2..ea06ea85526 100644
--- a/website/docs/docs/build/metrics-overview.md
+++ b/website/docs/docs/build/metrics-overview.md
@@ -283,7 +283,7 @@ filter: |
   {{ TimeDimension('time_dimension', 'granularity') }}
 
 filter: |  
- {{ Metric('metric_name', group_by=['entity_name']) }}  # Available in v1.8 or with [versionless (/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless) dbt Cloud.
+ {{ Metric('metric_name', group_by=['entity_name']) }}  # Available in v1.8 or with versionless dbt Cloud.
 ```
 
 </File>

From fc5d053f0a0e7707eb869d13b0b022531b35ca8e Mon Sep 17 00:00:00 2001
From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com>
Date: Thu, 3 Oct 2024 11:04:50 -0700
Subject: [PATCH 166/200] [Core] 1.9 upgrade guide (#6184)

Closes https://github.com/dbt-labs/docs.getdbt.com/issues/6159

## What are you changing in this pull request and why?

First draft of upgrade guide. This is the most current content!

## Checklist
- [ ] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [ ] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [ ] I have added checklist item(s) to this list for anything anything
that needs to happen before this PR is merged, such as "needs technical
review" or "change base branch."
<!--
PRE-RELEASE VERSION OF dbt (if so, uncomment):
- [ ] Add a note to the prerelease version [Migration
Guide](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/core-upgrade)
-->
<!--
ADDING OR REMOVING PAGES (if so, uncomment):
- [ ] Add/remove page in `website/sidebars.js`
- [ ] Provide a unique filename for new pages
- [ ] Add an entry for deleted pages in `website/vercel.json`
- [ ] Run link testing locally with `npm run build` to update the links
that point to deleted pages
-->

---------

Co-authored-by: Amy Chen <46451573+amychen1776@users.noreply.github.com>
Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com>
Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
---
 website/dbt-versions.js                       |   4 +
 .../core-upgrade/06-upgrading-to-v1.9.md      | 112 ++++++++++++++++++
 .../docs/docs/dbt-versions/release-notes.md   |   5 +-
 3 files changed, 119 insertions(+), 2 deletions(-)
 create mode 100644 website/docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.9.md

diff --git a/website/dbt-versions.js b/website/dbt-versions.js
index d253829c0b7..7303c9d2b4c 100644
--- a/website/dbt-versions.js
+++ b/website/dbt-versions.js
@@ -18,6 +18,10 @@ exports.versions = [
     version: "1.9.1",
     customDisplay: "Cloud (Versionless)",
   },
+  {
+    version: "1.9",
+    isPrerelease: true,
+  },
   {
     version: "1.8",
     EOLDate: "2025-04-15",
diff --git a/website/docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.9.md b/website/docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.9.md
new file mode 100644
index 00000000000..cf9b9eaed4e
--- /dev/null
+++ b/website/docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.9.md
@@ -0,0 +1,112 @@
+---
+title: "Upgrading to v1.9 (beta)"
+id: upgrading-to-v1.9
+description: New features and changes in dbt Core v1.9
+displayed_sidebar: "docs"
+---
+ 
+## Resources 
+
+- [dbt Core 1.9 changelog](https://github.com/dbt-labs/dbt-core/blob/1.9.latest/CHANGELOG.md)
+- [dbt Core CLI Installation guide](/docs/core/installation-overview)
+- [Cloud upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless)
+
+## What to know before upgrading
+
+dbt Labs is committed to providing backward compatibility for all versions 1.x. Any behavior changes will be accompanied by a [behavior change flag](/reference/global-configs/behavior-changes#behavior-change-flags) to provide a migration window for existing projects. If you encounter an error upon upgrading, please let us know by [opening an issue](https://github.com/dbt-labs/dbt-core/issues/new).
+
+dbt Cloud is now [versionless](/docs/dbt-versions/versionless-cloud). If you have selected "Versionless" in dbt Cloud, you already have access to all the features, fixes, and other functionality that is included in dbt Core v1.9.
+For users of dbt Core, since v1.8 we recommend explicitly installing both `dbt-core` and `dbt-<youradapter>`. This may become required for a future version of dbt. For example:
+
+```sql
+python3 -m pip install dbt-core dbt-snowflake
+```
+
+## New and changed features and functionality
+
+Features and functionality new in dbt v1.9.
+
+### Microbatch `incremental_strategy`
+
+:::info 
+While microbatch is in "beta", this functionality is still gated behind an env var, which will change to a behavior flag when 1.9 is GA. To use microbatch, set `DBT_EXPERIMENTAL_MICROBATCH` to `true` wherever you're running dbt Core.
+:::
+
+Incremental models are, and have always been, a *performance optimization* — for datasets that are too large to be dropped and recreated from scratch every time you do a `dbt run`. Learn more about [incremental models](/docs/build/incremental-models-overview).
+
+Historically, managing incremental models involved several manual steps and responsibilities, including:
+
+- Add a snippet of dbt code (in an `is_incremental()` block) that uses the already-existing table (`this`) as a rough bookmark, so that only new data gets processed.
+- Pick one of the strategies for smushing old and new data together (`append`, `delete+insert`, or `merge`).
+- If anything goes wrong, or your schema changes, you can always "full-refresh", by running the same simple query that rebuilds the whole table from scratch.
+
+While this works for many use-cases, there’s a clear limitation with this approach: *Some datasets are just too big to fit into one query.*
+
+Starting in Core 1.9, you can use the new microbatch strategy to optimize your largest datasets  -- **process your event data in discrete periods with their own SQL queries, rather than all at once.** The benefits include:
+
+- Simplified query design: Write your model query for a single batch of data. dbt will use your `event_time`, `lookback`, and `batch_size` configurations to automatically generate the necessary filters for you, making the process more streamlined and reducing the need for you to manage these details.
+- Independent batch processing: dbt automatically breaks down the data to load into smaller batches based on the specified `batch_size` and processes each batch independently, improving efficiency and reducing the risk of query timeouts. If some of your batches fail, you can use `dbt retry` to load only the failed batches.
+- Targeted reprocessing: To load a *specific* batch or batches, you can use the CLI arguments `--event-time-start` and `--event-time-end`.
+
+Currently microbatch is supported on these adapters with more to come:
+ * postgres
+ * snowflake
+ * bigquery
+ * spark
+  
+### Snapshots improvements
+
+Beginning in dbt Core 1.9, we've streamlined snapshot configuration and added a handful of new configurations to make dbt **snapshots easier to configure, run, and customize.** These improvements include:
+
+- New snapshot specification: Snapshots can now be configured in a YAML file, which provides a cleaner and more consistent set up.
+- New `snapshot_meta_column_names` config: Allows you to customize the names of meta fields (for example, `dbt_valid_from`, `dbt_valid_to`, etc.) that dbt automatically adds to snapshots. This increases flexibility to tailor metadata to your needs.
+- `target_schema` is now optional for snapshots: When omitted, snapshots will use the schema defined for the current environment.
+- Standard `schema` and `database` configs supported: Snapshots will now be consistent with other dbt resource types. You can specify where environment-aware snapshots should be stored.
+- Warning for incorrect `updated_at` data type: To ensure data integrity, you'll see a warning if the `updated_at` field specified in the snapshot configuration is not the proper data type or timestamp.
+
+Read more about [Snapshots meta fields](/docs/build/snapshots#snapshot-meta-fields).
+
+### `state:modified` improvements
+
+We’ve made improvements to `state:modified` behaviors to help reduce the risk of false positives and negatives. Read more about [the `state:modified` behavior flag](#managing-changes-to-legacy-behaviors) that unlocks this improvement:
+
+- Added environment-aware enhancements for environments where the logic purposefully differs (for example, materializing as a table in `prod` but a `view` in dev).
+
+### Managing changes to legacy behaviors
+
+dbt Core v1.9 has a handful of new flags for [managing changes to legacy behaviors](/reference/global-configs/behavior-changes). You may opt into recently introduced changes (disabled by default), or opt out of mature changes (enabled by default), by setting `True` / `False` values, respectively, for `flags` in `dbt_project.yml`.
+
+You can read more about each of these behavior changes in the following links:
+
+- (Introduced, disabled by default) [`state_modified_compare_more_unrendered_values`](/reference/global-configs/behavior-changes#behavior-change-flags). Set to `True` to start persisting `unrendered_database` and `unrendered_schema` configs during source parsing, and do comparison on unrendered values during `state:modified` checks to reduce false positives due to environment-aware logic when selecting `state:modified`.
+- (Introduced, disabled by default) [`skip_nodes_if_on_run_start_fails` project config flag](/reference/global-configs/behavior-changes#behavior-change-flags). If the flag is set and **any** `on-run-start` hook fails, mark all selected nodes as skipped.
+    - `on-run-start/end` hooks are **always** run, regardless of whether they passed or failed last time.
+- (Introduced, disabled by default) [[Redshift] `restrict_direct_pg_catalog_access`](/reference/global-configs/behavior-changes#redshift-restrict_direct_pg_catalog_access). If the flag is set the adapter will use the Redshift API (through the Python client) if available, or query Redshift's `information_schema` tables instead of using `pg_` tables.
+
+## Adapter specific features and functionalities
+
+### Redshift
+
+- Support IAM Role auth
+
+### Snowflake
+
+- Iceberg Table Format support will be available on three out of the box materializations: table, incremental, dynamic tables. 
+
+### Bigquery
+
+- Can cancel running queries on keyboard interrupt
+- Auto-drop intermediate tables created by incremental models to save resources
+
+### Spark
+
+- Support overriding the ODBC driver connection string which now enables you to provide custom connections
+
+## Quick hits
+
+We also made some quality-of-life improvements in Core 1.9, enabling you to:
+
+- Maintain data quality now that dbt returns an an error (versioned models) or warning (unversioned models) when someone [removes a contracted model by deleting, renaming, or disabling](/docs/collaborate/govern/model-contracts#how-are-breaking-changes-handled) it.
+- Document [singular data tests](/docs/build/data-tests#document-singular-tests).
+- Use `ref` and `source` in [foreign key constraints](/reference/resource-properties/constraints).
+- Use `dbt test` with the `--resource-type` / `--exclude-resource-type` flag, making it possible to include or exclude data tests (`test`) or unit tests (`unit_test`).
diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index 2e23d394228..08fe72be867 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -25,9 +25,10 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
   - Users on dbt 1.8 and earlier: No action is needed; existing snapshots will continue to work as before. However, we recommend upgrading to Versionless to take advantage of the new snapshot features.
 - **Behavior change:** Set [`state_modified_compare_more_unrendered`](/reference/global-configs/behavior-changes#source-definitions-for-state) to true to reduce false positives for `state:modified` when configs differ between `dev` and `prod` environments.
 - **Behavior change:** Set the [`skip_nodes_if_on_run_start_fails`](/reference/global-configs/behavior-changes#failures-in-on-run-start-hooks) flag to `True` to skip all selected resources from running if there is a failure on an `on-run-start` hook.
-- **Enhancement**: In dbt Cloud Versionless, snapshots defined in SQL files can now use `config` defined in `schema.yml` YAML files. This update resolves the previous limitation that required snapshot properties to be defined exclusively in `dbt_project.yml` and/or a `config()` block within the SQL file. This enhancement will be included in the upcoming dbt Core v1.9 release.
+- **Enhancement**: In dbt Cloud Versionless, snapshots defined in SQL files can now use `config` defined in `schema.yml` YAML files. This update resolves the previous limitation that required snapshot properties to be defined exclusively in `dbt_project.yml` and/or a `config()` block within the SQL file. This will also be released in dbt Core 1.9.
+- **Enhancement**: In dbt Cloud versionless, dbt infers a model's `primary_key` based on configured data tests and/or constraints within `manifest.json`. The inferred `primary_key` is visible in dbt Explorer and utilized by the dbt Cloud [compare changes](/docs/deploy/run-visibility#compare-tab) feature. This will also be released in dbt Core 1.9.
 - **New**: In dbt Cloud Versionless, the `snapshot_meta_column_names` config allows for customizing the snapshot metadata columns. This feature allows an organization to align these automatically-generated column names with their conventions, and will be included in the upcoming dbt Core 1.9 release.
-- **Enhancement**: In May 2024, dbt Cloud versionless began inferring a model's `primary_key` based on configured data tests and/or constraints within `manifest.json`. The inferred `primary_key` is visible in dbt Explorer and utilized by the dbt Cloud [compare changes](/docs/deploy/run-visibility#compare-tab) feature. This will also be released in dbt Core 1.9.
+- **Enhancement**: dbt Cloud versionless began inferring a model's `primary_key` based on configured data tests and/or constraints within `manifest.json`. The inferred `primary_key` is visible in dbt Explorer and utilized by the dbt Cloud [compare changes](/docs/deploy/run-visibility#compare-tab) feature. This will also be released in dbt Core 1.9.
 Read about the [order dbt infers columns can be used as primary key of a model](https://github.com/dbt-labs/dbt-core/blob/7940ad5c7858ff11ef100260a372f2f06a86e71f/core/dbt/contracts/graph/nodes.py#L534-L541). 
 - **New:** dbt Explorer now includes trust signal icons, which is currently available as a [Preview](/docs/dbt-versions/product-lifecycles#dbt-cloud). Trust signals offer a quick, at-a-glance view of data health when browsing your dbt models in Explorer. These icons indicate whether a model is **Healthy**, **Caution**, **Degraded**, or **Unknown**. For accurate health data, ensure the resource is up-to-date and has had a recent job run. Refer to [Trust signals](/docs/collaborate/explore-projects#trust-signals-for-resources) for more information. 
 - **New:** Auto exposures are now available in Preview in dbt Cloud. Auto-exposures helps users understand how their models are used in downstream analytics tools to inform investments and reduce incidents. It imports and auto-generates exposures based on Tableau dashboards, with user-defined curation. To learn more, refer to [Auto exposures](/docs/collaborate/auto-exposures).

From 40e90bbdb972fcd2a92809ac4eacfcc70901674e Mon Sep 17 00:00:00 2001
From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
Date: Thu, 3 Oct 2024 12:20:50 -0600
Subject: [PATCH 167/200] Update link after adapter-specific behavior changes
 moved to new file adapter-specific behavior changes to their own folder
 (#6234)

[Preview](https://docs-getdbt-com-git-dbeatty10-patch-3-dbt-labs.vercel.app/reference/global-configs/behavior-changes#behavior-change-flags)

## What are you changing in this pull request and why?

The section for the link was moved to another file in
https://github.com/dbt-labs/docs.getdbt.com/pull/6151.

## Checklist
- [x] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
---
 website/docs/reference/global-configs/behavior-changes.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/global-configs/behavior-changes.md b/website/docs/reference/global-configs/behavior-changes.md
index 01b71aa6976..f7c2344ae05 100644
--- a/website/docs/reference/global-configs/behavior-changes.md
+++ b/website/docs/reference/global-configs/behavior-changes.md
@@ -67,7 +67,7 @@ When we use dbt Cloud in the following table, we're referring to accounts that h
 | require_explicit_package_overrides_for_builtin_materializations | 2024.04          | 2024.06             | 1.6.14, 1.7.14  | 1.8.0             |
 | require_resource_names_without_spaces                           | 2024.05          | TBD*                | 1.8.0           | 1.9.0             |
 | source_freshness_run_project_hooks                              | 2024.03          | TBD*                | 1.8.0           | 1.9.0             |
-| [Redshift] [restrict_direct_pg_catalog_access](#redshift-restrict_direct_pg_catalog_access)    | 2024.09          | TBD*                | dbt-redshift v1.9.0           | 1.9.0             |
+| [Redshift] [restrict_direct_pg_catalog_access](/reference/global-configs/redshift-changes#the-restrict_direct_pg_catalog_access-flag)    | 2024.09          | TBD*                | dbt-redshift v1.9.0           | 1.9.0             |
 | skip_nodes_if_on_run_start_fails                                | 2024.10          | TBD*                | 1.9.0           | TBD*              |
 | state_modified_compare_more_unrendered                          | 2024.10          | TBD*                | 1.9.0           | TBD*              |
 

From 5e6a7a7afa7a024a9455b6f0be3f39d0a8751d0c Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 20:17:22 +0100
Subject: [PATCH 168/200] Update release-notes.md

---
 website/docs/docs/dbt-versions/release-notes.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index f72255c3a43..770b650c2bf 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -27,7 +27,6 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 - **Behavior change:** Set [`state_modified_compare_more_unrendered`](/reference/global-configs/behavior-changes#source-definitions-for-state) to true to reduce false positives for `state:modified` when configs differ between `dev` and `prod` environments.
 - **Behavior change:** Set the [`skip_nodes_if_on_run_start_fails`](/reference/global-configs/behavior-changes#failures-in-on-run-start-hooks) flag to `True` to skip all selected resources from running if there is a failure on an `on-run-start` hook.
 - **Enhancement**: In dbt Cloud Versionless, snapshots defined in SQL files can now use `config` defined in `schema.yml` YAML files. This update resolves the previous limitation that required snapshot properties to be defined exclusively in `dbt_project.yml` and/or a `config()` block within the SQL file. This will also be released in dbt Core 1.9.
-- **Enhancement**: In dbt Cloud versionless, dbt infers a model's `primary_key` based on configured data tests and/or constraints within `manifest.json`. The inferred `primary_key` is visible in dbt Explorer and utilized by the dbt Cloud [compare changes](/docs/deploy/run-visibility#compare-tab) feature. This will also be released in dbt Core 1.9.
 - **New**: In dbt Cloud Versionless, the `snapshot_meta_column_names` config allows for customizing the snapshot metadata columns. This feature allows an organization to align these automatically-generated column names with their conventions, and will be included in the upcoming dbt Core 1.9 release.
 - **Enhancement**: dbt Cloud versionless began inferring a model's `primary_key` based on configured data tests and/or constraints within `manifest.json`. The inferred `primary_key` is visible in dbt Explorer and utilized by the dbt Cloud [compare changes](/docs/deploy/run-visibility#compare-tab) feature. This will also be released in dbt Core 1.9.
 Read about the [order dbt infers columns can be used as primary key of a model](https://github.com/dbt-labs/dbt-core/blob/7940ad5c7858ff11ef100260a372f2f06a86e71f/core/dbt/contracts/graph/nodes.py#L534-L541). 

From cf47738d284db4f9b5ae6b6acd62371eb83cf25a Mon Sep 17 00:00:00 2001
From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
Date: Thu, 3 Oct 2024 13:18:08 -0600
Subject: [PATCH 169/200] Remove duplicated release note content (#6236)

[Preview](https://docs-getdbt-com-git-dbeatty10-patch-1-dbt-labs.vercel.app/docs/dbt-versions/dbt-cloud-release-notes#october-2024)

## What are you changing in this pull request and why?

We had the same content twice on accident. So removing the one with less
following detail.

Search for "based on configured data tests" to see the relevant line(s).

## Checklist
- [x] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
---
 website/docs/docs/dbt-versions/release-notes.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index 08fe72be867..47d37f1a1c8 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -26,7 +26,6 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 - **Behavior change:** Set [`state_modified_compare_more_unrendered`](/reference/global-configs/behavior-changes#source-definitions-for-state) to true to reduce false positives for `state:modified` when configs differ between `dev` and `prod` environments.
 - **Behavior change:** Set the [`skip_nodes_if_on_run_start_fails`](/reference/global-configs/behavior-changes#failures-in-on-run-start-hooks) flag to `True` to skip all selected resources from running if there is a failure on an `on-run-start` hook.
 - **Enhancement**: In dbt Cloud Versionless, snapshots defined in SQL files can now use `config` defined in `schema.yml` YAML files. This update resolves the previous limitation that required snapshot properties to be defined exclusively in `dbt_project.yml` and/or a `config()` block within the SQL file. This will also be released in dbt Core 1.9.
-- **Enhancement**: In dbt Cloud versionless, dbt infers a model's `primary_key` based on configured data tests and/or constraints within `manifest.json`. The inferred `primary_key` is visible in dbt Explorer and utilized by the dbt Cloud [compare changes](/docs/deploy/run-visibility#compare-tab) feature. This will also be released in dbt Core 1.9.
 - **New**: In dbt Cloud Versionless, the `snapshot_meta_column_names` config allows for customizing the snapshot metadata columns. This feature allows an organization to align these automatically-generated column names with their conventions, and will be included in the upcoming dbt Core 1.9 release.
 - **Enhancement**: dbt Cloud versionless began inferring a model's `primary_key` based on configured data tests and/or constraints within `manifest.json`. The inferred `primary_key` is visible in dbt Explorer and utilized by the dbt Cloud [compare changes](/docs/deploy/run-visibility#compare-tab) feature. This will also be released in dbt Core 1.9.
 Read about the [order dbt infers columns can be used as primary key of a model](https://github.com/dbt-labs/dbt-core/blob/7940ad5c7858ff11ef100260a372f2f06a86e71f/core/dbt/contracts/graph/nodes.py#L534-L541). 

From 55058555cc06247c2f980816625fe6925385c5aa Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 3 Oct 2024 20:50:52 +0100
Subject: [PATCH 170/200] Update explorer-qs.md

---
 website/docs/guides/explorer-qs.md | 24 ++++++++++++++----------
 1 file changed, 14 insertions(+), 10 deletions(-)

diff --git a/website/docs/guides/explorer-qs.md b/website/docs/guides/explorer-qs.md
index e36392ca2ad..0017831fb95 100644
--- a/website/docs/guides/explorer-qs.md
+++ b/website/docs/guides/explorer-qs.md
@@ -15,7 +15,7 @@ recently_updated: true
 
 Unlock the power of [dbt Explorer](/docs/collaborate/explore-projects) in this hands-on workshop designed for analytics engineers, data analysts, stakeholders, and data leaders.
 
-This quickstart guide accompanies the Explorer hands-on workshop and help you dive into a production-level dbt Mesh implementation and discover how to explore your data workflows.⁠ Whether you're looking to streamline your data operations, improve data quality, or self-serve information about your data platform, this workshop will equip you with the tools and knowledge to take your dbt projects to the next level.
+This quickstart guide accompanies the Explorer hands-on workshop and helps you dive into a production-level dbt Mesh implementation and discover how to explore your data workflows.⁠ Whether you're looking to streamline your data operations, improve data quality, or self-serve information about your data platform, this workshop will equip you with the tools and knowledge to take your dbt projects to the next level.
 
 By the end of the guide and workshop, you'll understand how to leverage dbt Explorer and have the confidence to navigate multiple dbt projects, trace dependencies, and identify opportunities to improve performance and data quality.
 
@@ -37,10 +37,10 @@ Now we’ll be creating your dbt Cloud account and connecting it to a data wareh
 4. Use the passcode provided by the workshop facilitator.
 5. Agree to the terms of service and click the **Complete Registration** button.
 6. Wait about 30 seconds, you’ll be in the dbt Cloud account for this workshop and already connected to a data warehouse.
-7. Toggle into the *Platform project*. Go to the Deploy tab and select Jobs from the dropdown menu. 
-8. Run each job you see by clicking on the job and then selecting 'Run'. This will run the *upstream* project job in both a production and staging environment.
-9. Toggle into the *Analytics project*. Go to the Deploy tab and select Jobs from the dropdown menu. 
-10. Run each job you see by clicking on the job and then selecting 'Run'. This will run the *downstream* project job in both a production and staging environment.
+7. Toggle into the **Platform project**. Go to the **Deploy** tab and select **Jobs** from the dropdown menu. 
+8. Run each job you see by clicking on the job and then selecting **Run**. This will run the *upstream* project job in both a production and staging environment.
+9. Toggle into the **Analytics project**. Go to the **Deploy** tab and select **Jobs** from the dropdown menu. 
+10. Run each job you see by clicking on the job and then selecting **Run**. This will run the *downstream* project job in both a production and staging environment.
  <Lightbox src="/img/quickstarts/dbt-cloud/go_to_jobs.png" width="80%" title="Click on the Jobs tab" />
  <Lightbox src="/img/quickstarts/dbt-cloud/run_job.png" width="80%" title="Run the jobs" />
    
@@ -60,19 +60,21 @@ dbt Explorer will show you your project's most executed models, longest model ex
 
 ## Resources
 
-With dbt Explorer, you can view your project's resources (such as models, tests, and metrics), their lineage, and model consumption to gain a better understanding of its latest production state. Navigate and manage your projects within dbt Cloud to help you and other data developers, analysts, and consumers discover and leverage your dbt resources.
+With dbt Explorer, you can view your project's resources (such as models, tests, and metrics), their lineage, and model consumption to gain a better understanding of its latest production state. 
+
+Navigate and manage your projects within dbt Cloud to help you and other data developers, analysts, and consumers discover and leverage your dbt resources.
 
 <Lightbox src="/img/quickstarts/dbt-cloud/explorer_performance_tab.png" width="100%" title="dbt Explorer's Models tab" />
 
 ### Hands-On
-- Explore the Model tab 
+- Explore the **Model** tab 
   - Pick a model. What’s its row count?
   - Use the test results drop down to see if  this model’s tests passed. What other models does it depend on?
 - Explore the **Tests** tab
   - What tests do we see? Which tests have warnings? Failures?
 - Explore the **Sources** tab
   - What sources can we see? Which sources have stale data? Which sources have fresh data?
-- Explore Exposures
+- Explore **Exposures**
   - Use the lineage graph to find an exposure. Which  models and metrics does the Exposure reference?
  
 ## Lineage
@@ -97,7 +99,7 @@ dbt Explorer provides a visualization of your project’s <Term id="dag"/> that
 - Explore **Project-Level lineage**
   - Pick a model and review its upstream and downstream dependencies
   - Which sources does this model depend on? Which models depend on this model?
-- Explore Lenses
+- Explore **Lenses**
   - Apply the Test Status Lenses. Which models passed tests? Which had warnings?
   - Explore different lenses (Model Layer, Materialization Type, Resource). What information do you see?
 - Explore **Column-Level Lineage**
@@ -127,7 +129,9 @@ To learn more about the specific suggestions and the reasons behind them, check
 <Lightbox src="/img/quickstarts/dbt-cloud/dbt_explorer_project_recs.png" width="80%" title="dbt Explorer's project recommendation tab" />
 
 ### Hands-On
-- Review your project recommendations. Find the project recommendation for the model `agg_daily_returned_orders`. Add documentation to this model in the aggregates.yml file.
+- Review your project recommendations.
+- Find the project recommendation for the model `agg_daily_returned_orders`.
+- Add documentation to this model in the `aggregates.yml` file.
 
 ## What's next
 

From 671be0115b5282249ab3dc4daf595dd31db4edc0 Mon Sep 17 00:00:00 2001
From: Jeremy Cohen <jeremy@dbtlabs.com>
Date: Thu, 3 Oct 2024 21:53:49 +0200
Subject: [PATCH 171/200] "Microbatch" incremental strategy (#6194)

Resolves #6136

## What are you changing in this pull request and why?

- Add docs on `microbatch` incremental strategy (v1.9+)
- Add `microbatch` to table of incremental strategies

## Checklist
- [x] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [x] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [x] I have added checklist item(s) to this list for anything anything
that needs to happen before this PR is merged, such as "needs technical
review" or "change base branch."
- [x] Add/remove page in `website/sidebars.js`
- [x] Provide a unique filename for new pages

---------

Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Co-authored-by: mirnawong1 <mirnawong@gmail.com>
Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com>
Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com>
Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 website/dbt-versions.js                       |   4 +
 .../docs/docs/build/incremental-microbatch.md | 285 ++++++++++++++++++
 .../docs/build/incremental-models-overview.md |   1 +
 .../docs/docs/build/incremental-strategy.md   |  38 +--
 .../docs/docs/dbt-versions/release-notes.md   |   1 +
 website/sidebars.js                           |   1 +
 .../microbatch/event_time.png                 | Bin 0 -> 108539 bytes
 .../microbatch/microbatch_backfill.png        | Bin 0 -> 127920 bytes
 .../microbatch/microbatch_filters.png         | Bin 0 -> 467421 bytes
 .../microbatch/microbatch_lookback.png        | Bin 0 -> 105900 bytes
 10 files changed, 311 insertions(+), 19 deletions(-)
 create mode 100644 website/docs/docs/build/incremental-microbatch.md
 create mode 100644 website/static/img/docs/building-a-dbt-project/microbatch/event_time.png
 create mode 100644 website/static/img/docs/building-a-dbt-project/microbatch/microbatch_backfill.png
 create mode 100644 website/static/img/docs/building-a-dbt-project/microbatch/microbatch_filters.png
 create mode 100644 website/static/img/docs/building-a-dbt-project/microbatch/microbatch_lookback.png

diff --git a/website/dbt-versions.js b/website/dbt-versions.js
index 7303c9d2b4c..9007d719bc0 100644
--- a/website/dbt-versions.js
+++ b/website/dbt-versions.js
@@ -47,6 +47,10 @@ exports.versions = [
  */
 exports.versionedPages = [
   {
+    page: "docs/build/incremental-microbatch",
+    firstVersion: "1.9",
+  },
+    {
     page: "reference/resource-configs/snapshot_meta_column_names",
     firstVersion: "1.9",
   },
diff --git a/website/docs/docs/build/incremental-microbatch.md b/website/docs/docs/build/incremental-microbatch.md
new file mode 100644
index 00000000000..ae598bbe05f
--- /dev/null
+++ b/website/docs/docs/build/incremental-microbatch.md
@@ -0,0 +1,285 @@
+---
+title: "About microbatch incremental models"
+description: "Learn about the 'microbatch' strategy for incremental models."
+id: "incremental-microbatch"
+---
+
+# About microbatch incremental models <Lifecycle status="beta" />
+
+:::info Microbatch
+
+The `microbatch` strategy is available in beta for [dbt Cloud Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless) and dbt Core v1.9. We have been developing it behind a flag to prevent unintended interactions with existing custom incremental strategies. To enable this feature, set the environment variable `DBT_EXPERIMENTAL_MICROBATCH` to `True` in your dbt Cloud environments or wherever you're running dbt Core.
+
+Read and participate in the discussion: [dbt-core#10672](https://github.com/dbt-labs/dbt-core/discussions/10672)
+
+:::
+
+## What is "microbatch" in dbt?
+
+Incremental models in dbt are a [materialization](/docs/build/materializations) designed to efficiently update your data warehouse tables by only transforming and loading _new or changed data_ since the last run. Instead of reprocessing an entire dataset every time, incremental models process a smaller number of rows, and then append, update, or replace those rows in the existing table. This can significantly reduce the time and resources required for your data transformations.
+
+Microbatch incremental models make it possible to process transformations on very large time-series datasets with efficiency and resiliency. When dbt runs a microbatch model — whether for the first time, during incremental runs, or in specified backfills — it will split the processing into multiple queries (or "batches"), based on the `event_time` and `batch_size` you configure.
+
+Each "batch" corresponds to a single bounded time period (by default, a single day of data). Where other incremental strategies operate only on "old" and "new" data, microbatch models treat every batch as an atomic unit that can be built or replaced on its own. Each batch is independent and <Term id="idempotent" />. This is a powerful abstraction that makes it possible for dbt to run batches separately — in the future, concurrently — and to retry them independently.
+
+### Example
+
+A `sessions` model is aggregating and enriching data that comes from two other models:
+- `page_views` is a large, time-series table. It contains many rows, new records almost always arrive after existing ones, and existing records rarely update.
+- `customers` is a relatively small dimensional table. Customer attributes update often, and not in a time-based manner — that is, older customers are just as likely to change column values as newer customers.
+
+The `page_view_start` column in `page_views` is configured as that model's `event_time`. The `customers` model does not configure an `event_time`. Therefore, each batch of `sessions` will filter `page_views` to the equivalent time-bounded batch, and it will not filter `sessions` (a full scan for every batch).
+
+We run the `sessions` model on October 1, 2024, and then again on October 2. It produces the following queries:
+
+<Tabs>
+
+<TabItem value="Model definition">
+
+<File name="models/sessions.sql">
+
+```sql
+{{ config(
+    materialized='incremental',
+    incremental_strategy='microbatch',
+    event_time='session_start',
+    begin='2020-01-01'
+) }}
+
+with page_views as (
+
+    -- this ref will be auto-filtered
+    select * from {{ ref('page_views') }}
+
+),
+
+customers as (
+
+    -- this ref won't
+    select * from {{ ref('customers') }}
+
+),
+
+...
+```
+
+</File>
+
+</TabItem>
+
+<TabItem value="Compiled (Oct 1, 2024)">
+
+<File name="target/compiled/sessions.sql">
+
+```sql
+
+with page_views as (
+
+    select * from (
+        -- filtered on configured event_time
+        select * from "analytics"."page_views"
+        where page_view_start >= '2024-10-01 00:00:00'  -- Oct 1
+        and page_view_start < '2024-10-02 00:00:00'
+    )
+
+),
+
+customers as (
+
+    select * from "analytics"."customers"
+
+),
+
+...
+```
+
+</File>
+
+</TabItem>
+
+<TabItem value="Compiled (Oct 2, 2024)">
+
+<File name="target/compiled/sessions.sql">
+
+```sql
+
+with page_views as (
+
+    select * from (
+        -- filtered on configured event_time
+        select * from "analytics"."page_views"
+        where page_view_start >= '2024-10-02 00:00:00'  -- Oct 2
+        and page_view_start < '2024-10-03 00:00:00'
+    )
+
+),
+
+customers as (
+
+    select * from "analytics"."customers"
+
+),
+
+...
+```
+
+</File>
+
+</TabItem>
+
+</Tabs>
+
+dbt will instruct the data platform to take the result of each batch query and insert, update, or replace the contents of the `analytics.sessions` table for the same day of data. To perform this operation, dbt will use the most efficient atomic mechanism for "full batch" replacement that is available on each data platform.
+
+It does not matter whether the table already contains data for that day, or not. Given the same input data, no matter how many times a batch is reprocessed, the resulting table is the same.
+
+<Lightbox src="/img/docs/building-a-dbt-project/microbatch/microbatch_filters.png" title="Each batch of sessions filters page_views to the matching time-bound batch, but doesn't filter sessions, performing a full scan for each batch."/>
+
+### Relevant configs
+
+Several configurations are relevant to microbatch models, and some are required:
+
+| Config   | Type | Description   | Default |
+|----------|------|---------------|---------|
+| `event_time` | Column  (required)   | The column indicating "at what time did the row occur." Required for your microbatch model and any direct parents that should be filtered.          | N/A     |
+| `begin`      | Date (required)   | The "beginning of time" for the microbatch model. This is the starting point for any initial or full-refresh builds. For example, a daily-grain microbatch model run on `2024-10-01` with `begin = '2023-10-01` will process 366 batches (it's a leap year!) plus the batch for "today."        | N/A     |
+| `batch_size` | String (optional)  | The granularity of your batches. The default is `day` (and currently this is the only granularity supported).             | `day`   |
+| `lookback`   | Integer (optional) | Process X batches prior to the latest bookmark to capture late-arriving records.                                         | `0`     |
+
+<Lightbox src="/img/docs/building-a-dbt-project/microbatch/event_time.png" title="The event_time column configures the real-world time of this record"/>
+
+As a best practice, we recommend configuring `full_refresh: False` on microbatch models so that they ignore invocations with the `--full-refresh` flag. If you need to reprocess historical data, do so with a targeted backfill that specifies explicit start and end dates.
+
+### Usage
+
+**You must write your model query to process (read and return) exactly one "batch" of data**. This is a simplifying assumption and a powerful one:
+- You don’t need to think about `is_incremental` filtering
+- You don't need to pick among DML strategies (upserting/merging/replacing)
+- You can preview your model, and see the exact records for a given batch that will appear when that batch is processed and written to the table
+
+When you run a microbatch model, dbt will evaluate which batches need to be loaded, break them up into a SQL query per batch, and load each one independently.
+
+dbt will automatically filter upstream inputs (`source` or `ref`) that define `event_time`, based on the `lookback` and `batch_size` configs for this model.
+
+During standard incremental runs, dbt will process batches according to the current timestamp and the configured `lookback`, with one query per batch.
+
+<Lightbox src="/img/docs/building-a-dbt-project/microbatch/microbatch_lookback.png" title="Configure a lookback to reprocess additional batches during standard incremental runs"/>
+
+**Note:** If there’s an upstream model that configures `event_time`, but you *don’t* want the reference to it to be filtered, you can specify `ref('upstream_model').render()` to opt-out of auto-filtering. This isn't generally recommended — most models which configure `event_time` are fairly large, and if the reference is not filtered, each batch will perform a full scan of this input table.
+
+### Backfills
+
+Whether to fix erroneous source data, or retroactively apply a change in business logic, you may need to reprocess a large amount of historical data.
+
+Backfilling a microbatch model is as simple as selecting it to run or build, and specifying a "start" and "end" for `event_time`. As always, dbt will process the batches between the start and end as independent queries.
+
+```bash
+dbt run --event-time-start "2024-09-01" --event-time-end "2024-09-04"
+```
+
+<Lightbox src="/img/docs/building-a-dbt-project/microbatch/microbatch_backfill.png" title="Configure a lookback to reprocess additional batches during standard incremental runs"/>
+
+### Retry
+
+If one or more of your batches fail, you can use `dbt retry` to reprocess _only_ the failed batches.
+
+![Partial retry](https://github.com/user-attachments/assets/f94c4797-dcc7-4875-9623-639f70c97b8f)
+
+### Timezones
+
+For now, dbt assumes that all values supplied are in UTC:
+
+- `event_time`
+- `begin`
+- `--event-time-start`
+- `--event-time-end`
+
+While we may consider adding support for custom timezones in the future, we also believe that defining these values in UTC makes everyone's lives easier.
+
+## How `microbatch` compares to other incremental strategies?
+
+Most incremental models rely on the end user (you) to explicitly tell dbt what "new" means, in the context of each model, by writing a filter in an `{% if is_incremental() %}` conditional block. You are responsible for crafting this SQL in a way that queries [`{{ this }}`](/reference/dbt-jinja-functions/this) to check when the most recent record was last loaded, with an optional look-back window for late-arriving records. 
+
+Other incremental strategies will control _how_ the data is being added into the table — whether append-only `insert`, `delete` + `insert`, `merge`, `insert overwrite`, etc — but they all have this in common.
+
+As an example:
+
+```sql
+{{
+    config(
+        materialized='incremental',
+        incremental_strategy='delete+insert',
+        unique_key='date_day'
+    )
+}}
+
+select * from {{ ref('stg_events') }}
+
+    {% if is_incremental() %}
+        -- this filter will only be applied on an incremental run
+        -- add a lookback window of 3 days to account for late-arriving records
+        where date_day >= (select {{ dbt.dateadd("day", -3, "max(date_day)") }} from {{ this }})  
+    {% endif %}
+
+```
+
+For this incremental model:
+
+- "New" records are those with a `date_day` greater than the maximum `date_day` that has previously been loaded
+- The lookback window is 3 days
+- When there are new records for a given `date_day`, the existing data for `date_day` is deleted and the new data is inserted
+
+Let’s take our same example from before, and instead use the new `microbatch` incremental strategy:
+
+<File name="models/staging/stg_events.sql">
+
+```sql
+{{
+    config(
+        materialized='incremental',
+        incremental_strategy='microbatch',
+        event_time='event_occured_at',
+        batch_size='day',
+        lookback=3,
+        begin='2020-01-01',
+        full_refresh=false
+    )
+}}
+
+select * from {{ ref('stg_events') }} -- this ref will be auto-filtered
+```
+
+</File>
+
+Where you’ve also set an `event_time` for the model’s direct parents - in this case `stg_events`:
+
+<File name="models/staging/stg_events.yml">
+
+```yaml
+models:
+  - name: stg_events
+     config:
+       event_time: my_time_field
+```
+
+</File>
+
+And that’s it!
+
+When you run the model, each batch templates a separate query. For example, if you were running the model on October 1, dbt would template separate queries for each day between September 28 and October 1, inclusive — four batches in total.
+
+The query for `2024-10-01` would look like:
+
+<File name="target/compiled/staging/stg_events.sql">
+
+```sql
+select * from (
+    select * from "analytics"."stg_events"
+    where my_time_field >= '2024-10-01 00:00:00'
+      and my_time_field < '2024-10-02 00:00:00'
+)
+```
+
+</File>
+
+Based on your data platform, dbt will choose the most efficient atomic mechanism to insert, update, or replace these four batches (`2024-09-28`, `2024-09-29`, `2024-09-30`, and `2024-10-01`) in the existing table.
diff --git a/website/docs/docs/build/incremental-models-overview.md b/website/docs/docs/build/incremental-models-overview.md
index 16c950eb331..bddc6b0a55d 100644
--- a/website/docs/docs/build/incremental-models-overview.md
+++ b/website/docs/docs/build/incremental-models-overview.md
@@ -42,4 +42,5 @@ Transaction management, a process used in certain data platforms, ensures that a
 ## Related docs
 - [Incremental models](/docs/build/incremental-models) to learn how to configure incremental models in dbt.
 - [Incremental strategies](/docs/build/incremental-strategy) to understand how dbt implements incremental models on different databases.
+- [Microbatch](/docs/build/incremental-strategy) <Lifecycle status="beta" /> to understand a new incremental strategy intended for efficient and resilient processing of very large time-series datasets.
 - [Materializations best practices](/best-practices/materializations/1-guide-overview) to learn about the best practices for using materializations in dbt.
diff --git a/website/docs/docs/build/incremental-strategy.md b/website/docs/docs/build/incremental-strategy.md
index 8e86da0eba8..30de135b09b 100644
--- a/website/docs/docs/build/incremental-strategy.md
+++ b/website/docs/docs/build/incremental-strategy.md
@@ -10,32 +10,31 @@ There are various strategies to implement the concept of incremental materializa
 * The reliability of your `unique_key`.
 * The support of certain features in your data platform.
 
-An optional `incremental_strategy` config is provided in some adapters that controls the code that dbt uses
-to build incremental models.
+An optional `incremental_strategy` config is provided in some adapters that controls the code that dbt uses to build incremental models.
 
-### Supported incremental strategies by adapter
-
-Click the name of the adapter in the below table for more information about supported incremental strategies.
+:::info Microbatch <Lifecycle status="beta" />
 
-The `merge` strategy is available in dbt-postgres and dbt-redshift beginning in dbt v1.6.
+The [`microbatch` incremental strategy](/docs/build/incremental-microbatch) is intended for large time-series datasets. dbt will process the incremental model in multiple queries (or "batches") based on a configured `event_time` column. Depending on the volume and nature of your data, this can be more efficient and resilient than using a single query for adding new data.
 
-| data platform adapter                                                                               | `append` | `merge` | `delete+insert` | `insert_overwrite` |
-|-----------------------------------------------------------------------------------------------------|:--------:|:-------:|:---------------:|:------------------:|
-| [dbt-postgres](/reference/resource-configs/postgres-configs#incremental-materialization-strategies) |     ✅    |    ✅  |        ✅        |                    |
-| [dbt-redshift](/reference/resource-configs/redshift-configs#incremental-materialization-strategies) |     ✅    |    ✅  |        ✅        |                    |
-| [dbt-bigquery](/reference/resource-configs/bigquery-configs#merge-behavior-incremental-models)      |          |     ✅  |                 |          ✅         |
-| [dbt-spark](/reference/resource-configs/spark-configs#incremental-models)                           |     ✅    |    ✅  |                  |          ✅        |
-| [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models)                 |     ✅    |    ✅   |                 |          ✅        |
-| [dbt-snowflake](/reference/resource-configs/snowflake-configs#merge-behavior-incremental-models)    |     ✅    |    ✅   |        ✅       |                    |
-| [dbt-trino](/reference/resource-configs/trino-configs#incremental)                                  |     ✅    |    ✅   |        ✅       |                    |
-| [dbt-fabric](/reference/resource-configs/fabric-configs#incremental)                                |     ✅    |         |        ✅       |                    |
+:::
 
+### Supported incremental strategies by adapter
 
-:::note Snowflake Configurations
+This table represents the availability of each incremental strategy, based on the latest version of dbt Core and each adapter.
 
-dbt has changed the default materialization for incremental table merges from `temporary table` to `view`. For more information about this change and instructions for setting the configuration to a temp table, please read about [Snowflake temporary tables](/reference/resource-configs/snowflake-configs#temporary-tables).
+Click the name of the adapter in the below table for more information about supported incremental strategies.
 
-:::
+| Data platform adapter | `append` | `merge` | `delete+insert` | `insert_overwrite` | `microbatch` <Lifecycle status="beta"/> |
+|-----------------------|:--------:|:-------:|:---------------:|:------------------:|:-------------------:|
+| [dbt-postgres](/reference/resource-configs/postgres-configs#incremental-materialization-strategies) |     ✅    |    ✅   |        ✅        |                    |      ✅            |
+| [dbt-redshift](/reference/resource-configs/redshift-configs#incremental-materialization-strategies) |     ✅    |    ✅   |        ✅        |                    |                    |
+| [dbt-bigquery](/reference/resource-configs/bigquery-configs#merge-behavior-incremental-models)      |           |    ✅   |                 |          ✅         |      ✅            |
+| [dbt-spark](/reference/resource-configs/spark-configs#incremental-models)                           |     ✅    |    ✅   |                 |          ✅         |      ✅            |
+| [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models)                 |     ✅    |    ✅   |                 |          ✅         |                    |
+| [dbt-snowflake](/reference/resource-configs/snowflake-configs#merge-behavior-incremental-models)    |     ✅    |    ✅   |        ✅        |                    |      ✅            |
+| [dbt-trino](/reference/resource-configs/trino-configs#incremental)                                  |     ✅    |    ✅   |        ✅        |                    |                    |
+| [dbt-fabric](/reference/resource-configs/fabric-configs#incremental)                                |     ✅    |    ✅   |        ✅          |                    |                    |
+| [dbt-athena](/reference/resource-configs/athena-configs#incremental-models)                         |     ✅    |    ✅   |                 |          ✅         |                    |
 
 ### Configuring incremental strategy
 
@@ -200,6 +199,7 @@ Before diving into [custom strategies](#custom-strategies), it's important to un
 | `delete+insert`        | `get_incremental_delete_insert_sql`    |
 | `merge`                | `get_incremental_merge_sql`            |
 | `insert_overwrite`     | `get_incremental_insert_overwrite_sql` |
+| `microbatch`  <Lifecycle status="beta"/>         | `get_incremental_microbatch_sql`       |
 
 
 For example, a built-in strategy for the `append` can be defined and used with the following files:
diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index 6315866dd8f..eb2097def57 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -20,6 +20,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 
 ## October 2024
 
+- **New**: Introducing the [microbatch incremental model strategy](/docs/build/incremental-microbatch) (beta), available in dbt Cloud Versionless and will soon be supported in dbt Core 1.9. The microbatch strategy allows for efficient, batch-based processing of large time-series datasets for improved performance and resiliency, especially when you're working with data that changes over time (like new records being added daily). To enable this feature in dbt Cloud, set the `DBT_EXPERIMENTAL_MICROBATCH` environment variable to `true` in your project.
 - **New**: The dbt Semantic Layer supports custom calendar configurations in MetricFlow, available in [Preview](/docs/dbt-versions/product-lifecycles#dbt-cloud). Custom calendar configurations allow you to query data using non-standard time periods like `fiscal_year` or `retail_month`. Refer to [custom calendar](/docs/build/metricflow-time-spine#custom-calendar) to learn how to define these custom granularities in your MetricFlow timespine YAML configuration.
 - **New**: In dbt Cloud Versionless, [Snapshots](/docs/build/snapshots) have been updated to use YAML configuration files instead of SQL snapshot blocks. This new feature simplifies snapshot management and improves performance, and will soon be released in dbt Core 1.9.
   - Who does this affect? New user on Versionless can define snapshots using the new YAML specification. Users upgrading to Versionless who use snapshots can keep their existing configuration or can choose to migrate their snapshot definitions to YAML. 
diff --git a/website/sidebars.js b/website/sidebars.js
index 540c6264b35..cbf39cfb5cd 100644
--- a/website/sidebars.js
+++ b/website/sidebars.js
@@ -421,6 +421,7 @@ const sidebarSettings = {
                 "docs/build/incremental-models-overview",
                 "docs/build/incremental-models",
                 "docs/build/incremental-strategy",
+                "docs/build/incremental-microbatch",
               ],
             },
           ],
diff --git a/website/static/img/docs/building-a-dbt-project/microbatch/event_time.png b/website/static/img/docs/building-a-dbt-project/microbatch/event_time.png
new file mode 100644
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From 1c4f5d5ee48f4137772ead9ddc7a4d1702b6632a Mon Sep 17 00:00:00 2001
From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com>
Date: Thu, 3 Oct 2024 16:11:20 -0400
Subject: [PATCH 172/200] Adding Teradata configs page

---
 .../connect-data-platform/connect-teradata.md |  29 ++++++++++++++++++
 website/sidebars.js                           |   9 +++---
 .../docs/dbt-cloud/teradata-connection.png    | Bin 0 -> 215362 bytes
 .../docs/dbt-cloud/teradata-deployment.png    | Bin 0 -> 878779 bytes
 4 files changed, 34 insertions(+), 4 deletions(-)
 create mode 100644 website/docs/docs/cloud/connect-data-platform/connect-teradata.md
 create mode 100644 website/static/img/docs/dbt-cloud/teradata-connection.png
 create mode 100644 website/static/img/docs/dbt-cloud/teradata-deployment.png

diff --git a/website/docs/docs/cloud/connect-data-platform/connect-teradata.md b/website/docs/docs/cloud/connect-data-platform/connect-teradata.md
new file mode 100644
index 00000000000..98519aaff31
--- /dev/null
+++ b/website/docs/docs/cloud/connect-data-platform/connect-teradata.md
@@ -0,0 +1,29 @@
+---
+title: "Connect Teradata"
+id: connect-teradata
+description: "Configure the Teradata platform connection in dbt Cloud."
+sidebar_label: "Connect Teradata"
+---
+
+# Connect Teradata <Lifecycle status="preview" />
+
+Your environment(s) must be on ["Versionless"](/docs/dbt-versions/versionless-cloud) to use the Teradata connection.
+
+| Field                         | Description                                                                                   | Type           | Required? | Example |
+| ----------------------------- | --------------------------------------------------------------------------------------------- | -------------- | --------- | ------- |
+| Host                          | Host name of your Teradata environment.                                                        | String         | Required  | host-name.env.clearscape.teradata.com |
+| Port                          | The database port number. Equivalent to the Teradata JDBC Driver DBS_PORT connection parameter.| Quoted integer | Optional  | "1025 |
+| Retries                       | Number of times to retry to connect to database upon error.                                   | Integer        | optional  | 10 |
+| Request timeout               | The waiting period between connections attempts in seconds. Default is "1" second.            | Quoted integer | Optional  | "3" |
+
+<Lightbox src="/img/docs/dbt-cloud/teradata-connection.png" title="Example of the Teradata connection fields." />
+
+### Development and deployment credentials
+
+| Field                         | Description                                                                                   | Type           | Required? | Example            |
+| ------------------------------|-----------------------------------------------------------------------------------------------|----------------|-----------|--------------------|
+| Username                      | The database username. Equivalent to the Teradata JDBC Driver USER connection parameter.      | String         | Required  | database_username |
+| Password                      | The database password. Equivalent to the Teradata JDBC Driver PASSWORD connection parameter.  | String         | Required  | DatabasePassword123 |
+| Schema                        | Specifies the initial database to use after login, rather than the user's default database.   | String         | Required  | dbtlabsdocstest |
+
+<Lightbox src="/img/docs/dbt-cloud/teradata-deployment.png" title="Example of the developer credential fields." />
diff --git a/website/sidebars.js b/website/sidebars.js
index 540c6264b35..d0b04f9c53b 100644
--- a/website/sidebars.js
+++ b/website/sidebars.js
@@ -60,15 +60,16 @@ const sidebarSettings = {
               },
               items: [
                 "docs/cloud/connect-data-platform/about-connections",
+                "docs/cloud/connect-data-platform/connect-apache-spark",
                 "docs/cloud/connect-data-platform/connect-amazon-athena",
                 "docs/cloud/connect-data-platform/connect-azure-synapse-analytics",
-                "docs/cloud/connect-data-platform/connect-microsoft-fabric",
-                "docs/cloud/connect-data-platform/connect-starburst-trino",
-                "docs/cloud/connect-data-platform/connect-snowflake",
                 "docs/cloud/connect-data-platform/connect-bigquery",
                 "docs/cloud/connect-data-platform/connect-databricks",
+                "docs/cloud/connect-data-platform/connect-microsoft-fabric",
                 "docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb",
-                "docs/cloud/connect-data-platform/connect-apache-spark",
+                "docs/cloud/connect-data-platform/connect-starburst-trino",
+                "docs/cloud/connect-data-platform/connect-snowflake",
+                "docs/cloud/connect-data-platform/connect-teradata",
               ],
             },
             {
diff --git a/website/static/img/docs/dbt-cloud/teradata-connection.png b/website/static/img/docs/dbt-cloud/teradata-connection.png
new file mode 100644
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literal 0
HcmV?d00001


From 44b5c24415b7b01ca9a0cd60642567ccb2522138 Mon Sep 17 00:00:00 2001
From: Doug Beatty <doug.beatty@dbtlabs.com>
Date: Thu, 3 Oct 2024 20:13:56 -0600
Subject: [PATCH 173/200] `state_modified_compare_more_unrendered_values`
 behavior change flag

---
 website/docs/docs/dbt-versions/release-notes.md               | 2 +-
 website/docs/reference/global-configs/behavior-changes.md     | 4 ++--
 .../docs/reference/node-selection/state-comparison-caveats.md | 4 ++--
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md
index 96e8a7de37a..9030ca8e722 100644
--- a/website/docs/docs/dbt-versions/release-notes.md
+++ b/website/docs/docs/dbt-versions/release-notes.md
@@ -26,7 +26,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo
 - **New**: In dbt Cloud Versionless, [Snapshots](/docs/build/snapshots) have been updated to use YAML configuration files instead of SQL snapshot blocks. This new feature simplifies snapshot management and improves performance, and will soon be released in dbt Core 1.9.
   - Who does this affect? New user on Versionless can define snapshots using the new YAML specification. Users upgrading to Versionless who use snapshots can keep their existing configuration or can choose to migrate their snapshot definitions to YAML. 
   - Users on dbt 1.8 and earlier: No action is needed; existing snapshots will continue to work as before. However, we recommend upgrading to Versionless to take advantage of the new snapshot features.
-- **Behavior change:** Set [`state_modified_compare_more_unrendered`](/reference/global-configs/behavior-changes#source-definitions-for-state) to true to reduce false positives for `state:modified` when configs differ between `dev` and `prod` environments.
+- **Behavior change:** Set [`state_modified_compare_more_unrendered_values`](/reference/global-configs/behavior-changes#source-definitions-for-state) to true to reduce false positives for `state:modified` when configs differ between `dev` and `prod` environments.
 - **Behavior change:** Set the [`skip_nodes_if_on_run_start_fails`](/reference/global-configs/behavior-changes#failures-in-on-run-start-hooks) flag to `True` to skip all selected resources from running if there is a failure on an `on-run-start` hook.
 - **Enhancement**: In dbt Cloud Versionless, snapshots defined in SQL files can now use `config` defined in `schema.yml` YAML files. This update resolves the previous limitation that required snapshot properties to be defined exclusively in `dbt_project.yml` and/or a `config()` block within the SQL file. This will also be released in dbt Core 1.9.
 - **New**: In dbt Cloud Versionless, the `snapshot_meta_column_names` config allows for customizing the snapshot metadata columns. This feature allows an organization to align these automatically-generated column names with their conventions, and will be included in the upcoming dbt Core 1.9 release.
diff --git a/website/docs/reference/global-configs/behavior-changes.md b/website/docs/reference/global-configs/behavior-changes.md
index f7c2344ae05..d35b83765e3 100644
--- a/website/docs/reference/global-configs/behavior-changes.md
+++ b/website/docs/reference/global-configs/behavior-changes.md
@@ -69,7 +69,7 @@ When we use dbt Cloud in the following table, we're referring to accounts that h
 | source_freshness_run_project_hooks                              | 2024.03          | TBD*                | 1.8.0           | 1.9.0             |
 | [Redshift] [restrict_direct_pg_catalog_access](/reference/global-configs/redshift-changes#the-restrict_direct_pg_catalog_access-flag)    | 2024.09          | TBD*                | dbt-redshift v1.9.0           | 1.9.0             |
 | skip_nodes_if_on_run_start_fails                                | 2024.10          | TBD*                | 1.9.0           | TBD*              |
-| state_modified_compare_more_unrendered                          | 2024.10          | TBD*                | 1.9.0           | TBD*              |
+| state_modified_compare_more_unrendered_values                   | 2024.10          | TBD*                | 1.9.0           | TBD*              |
 
 When the dbt Cloud Maturity is "TBD," it means we have not yet determined the exact date when these flags' default values will change. Affected users will see deprecation warnings in the meantime, and they will receive emails providing advance warning ahead of the maturity date. In the meantime, if you are seeing a deprecation warning, you can either:
 - Migrate your project to support the new behavior, and then set the flag to `True` to stop seeing the warnings.
@@ -85,7 +85,7 @@ Set the `skip_nodes_if_on_run_start_fails` flag to `True` to skip all selected r
 
 The flag is `False` by default.
 
-Set `state_modified_compare_more_unrendered` to `True` to reduce false positives during `state:modified` checks (especially when configs differ by target environment like `prod` vs. `dev`).
+Set `state_modified_compare_more_unrendered_values` to `True` to reduce false positives during `state:modified` checks (especially when configs differ by target environment like `prod` vs. `dev`).
 
 Setting the flag to `True` changes the `state:modified` comparison from using rendered values to unrendered values instead. It accomplishes this by persisting `unrendered_config` during model parsing and `unrendered_database` and `unrendered_schema` configs during source parsing.
 
diff --git a/website/docs/reference/node-selection/state-comparison-caveats.md b/website/docs/reference/node-selection/state-comparison-caveats.md
index 4d5593b7331..25301656539 100644
--- a/website/docs/reference/node-selection/state-comparison-caveats.md
+++ b/website/docs/reference/node-selection/state-comparison-caveats.md
@@ -46,7 +46,7 @@ dbt test -s "state:modified" --exclude "test_name:relationships"
 
 <VersionBlock firstVersion="1.9">
 
-To reduce false positives during `state:modified` selection due to env-aware logic, you can set the `state_modified_compare_more_unrendered` [behavior flag](/reference/global-configs/behavior-changes#behavior-change-flags) to `True`. 
+To reduce false positives during `state:modified` selection due to env-aware logic, you can set the `state_modified_compare_more_unrendered_values` [behavior flag](/reference/global-configs/behavior-changes#behavior-change-flags) to `True`.
 
 </VersionBlock>
 
@@ -54,7 +54,7 @@ To reduce false positives during `state:modified` selection due to env-aware log
 State comparison works by identifying discrepancies between two manifests.  Those discrepancies could be the result of:
 
 1. Changes made to a project in development
-2. Env-aware logic that causes different behavior based on the `target`, env vars, etc., which can be avoided if you upgrade to dbt Core 1.9 and set the `state_modified_compare_more_unrendered` [behavior flag](/reference/global-configs/behavior-changes#behavior-change-flags) to `True`. 
+2. Env-aware logic that causes different behavior based on the `target`, env vars, etc., which can be avoided if you upgrade to dbt Core 1.9 and set the `state_modified_compare_more_unrendered_values` [behavior flag](/reference/global-configs/behavior-changes#behavior-change-flags) to `True`.
 
 State comparison detects env-aware config in `dbt_project.yml`. This target-based config won't register as a modification:
 

From ec8fa541db29bba5e1c3f8b1b8bdf118b514c6c3 Mon Sep 17 00:00:00 2001
From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com>
Date: Thu, 3 Oct 2024 22:50:48 -0400
Subject: [PATCH 174/200] Adding version blocks to iceberg (#6230)

Adding version blocks to Iceberg for Snowflake content

## Checklist
- [ ] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [ ] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [ ] I have added checklist item(s) to this list for anything anything
that needs to happen before this PR is merged, such as "needs technical
review" or "change base branch."
<!--
PRE-RELEASE VERSION OF dbt (if so, uncomment):
- [ ] Add a note to the prerelease version [Migration
Guide](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/core-upgrade)
-->
<!--
ADDING OR REMOVING PAGES (if so, uncomment):
- [ ] Add/remove page in `website/sidebars.js`
- [ ] Provide a unique filename for new pages
- [ ] Add an entry for deleted pages in `website/vercel.json`
- [ ] Run link testing locally with `npm run build` to update the links
that point to deleted pages
-->
---
 website/docs/reference/resource-configs/snowflake-configs.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md
index b0a0ca18bea..342e8290458 100644
--- a/website/docs/reference/resource-configs/snowflake-configs.md
+++ b/website/docs/reference/resource-configs/snowflake-configs.md
@@ -9,6 +9,8 @@ To-do:
 - use the reference doc structure for this article / split into separate articles
 --->
 
+<VersionBlock firstVersion="1.9">
+
 ## Iceberg table format <Lifecycle status="beta"/>
 
 The dbt-snowflake adapter supports the Iceberg table format. It is available for three of the Snowflake materializations: 
@@ -95,6 +97,7 @@ There are some limitations to the implementation you need to be aware of:
 -  Using Iceberg tables with dbt, the result is that your query is materialized in Iceberg. However, often, dbt creates intermediary objects as temporary and transient tables for certain materializations, such as incremental ones. It is not possible to configure these temporary objects also to be Iceberg-formatted. You may see non-Iceberg tables created in the logs to support specific materializations, but they will be dropped after usage.
 - You cannot incrementally update a preexisting incremental model to be an Iceberg table. To do so, you must fully rebuild the table with the `--full-refresh` flag.
 
+</VersionBlock>
 
 ## Dynamic tables
 

From 3ae24bd57d0f80dc6d8e7c59feb61f96d236cadc Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Fri, 4 Oct 2024 09:36:13 +0100
Subject: [PATCH 175/200] Update constraints.md

---
 .../docs/reference/resource-properties/constraints.md | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index de429ea71bf..353e56cd1f8 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -15,7 +15,7 @@ Constraints require the declaration and enforcement of a model [contract](/refer
 
 Constraints may be defined for a single column, or at the model level for one or more columns. As a general rule, we recommend defining single-column constraints directly on those columns.
 
-If you are defining multiple `primary_key` constraints for a single model, those _must_ be defined at the model level. Defining multiple `primary_key` constraints at the column level is not supported. 
+If you define multiple `primary_key` constraints for a single model, those _must_ be defined at the model level. Defining multiple `primary_key` constraints at the column level is not supported. 
 
 The structure of a constraint is:
 - `type` (required): one of `not_null`, `unique`, `primary_key`, `foreign_key`, `check`, `custom`
@@ -588,7 +588,8 @@ You can implement constraints in a couple of different ways:
 
 - [Custom constraints with tags](#custom-constraints-with-tags)
 - [Custom constraints without tags](#custom-constraints-without-tags)
-### Custom constraints with tags
+
+<Expandable alt_header="Custom constraints with tags">
 
 Here's an example of how to implement tag-based masking policies with contracts and constraints using the following syntax:
 
@@ -616,9 +617,9 @@ models:
 Using this syntax requires configuring all the columns and their types as it’s the only way to send a create or replace `<cols_info_with_masking> mytable as ...`. It’s not possible to do it with just a partial list of columns. This means making sure the columns and constraints fields are fully defined.
 
 To generate a YAML with all the columns, you can use `generate_model_yaml` from [dbt-codegen](https://github.com/dbt-labs/dbt-codegen/tree/0.12.1/?tab=readme-ov-file#generate_model_yaml-source).
+</Expandable>
 
-
-### Custom constraints without tags
+<Expandable alt_header="Custom constraints without tags"/>
 
 Alternatively, you can add a masking policy without tags:
 
@@ -642,5 +643,5 @@ models:
 ```
 
 </File>
-
+</Expandable>
 

From 06384c611188838795be6617dcd17ed43aacc3bd Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Fri, 4 Oct 2024 09:44:13 +0100
Subject: [PATCH 176/200] Update constraints.md

---
 website/docs/reference/resource-properties/constraints.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 353e56cd1f8..4dced11f337 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -619,7 +619,7 @@ Using this syntax requires configuring all the columns and their types as it’s
 To generate a YAML with all the columns, you can use `generate_model_yaml` from [dbt-codegen](https://github.com/dbt-labs/dbt-codegen/tree/0.12.1/?tab=readme-ov-file#generate_model_yaml-source).
 </Expandable>
 
-<Expandable alt_header="Custom constraints without tags"/>
+<Expandable alt_header="Custom constraints without tags">
 
 Alternatively, you can add a masking policy without tags:
 

From 06bf37d154702208a41a51c7bc6acc1d26910fb3 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Fri, 4 Oct 2024 14:19:34 +0100
Subject: [PATCH 177/200] Update constraints.md

remove redundant bullets
---
 website/docs/reference/resource-properties/constraints.md | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/website/docs/reference/resource-properties/constraints.md b/website/docs/reference/resource-properties/constraints.md
index 4dced11f337..ed38132c367 100644
--- a/website/docs/reference/resource-properties/constraints.md
+++ b/website/docs/reference/resource-properties/constraints.md
@@ -586,9 +586,6 @@ Custom constraints allow you to add configuration to specific columns. For examp
 
 You can implement constraints in a couple of different ways:
 
-- [Custom constraints with tags](#custom-constraints-with-tags)
-- [Custom constraints without tags](#custom-constraints-without-tags)
-
 <Expandable alt_header="Custom constraints with tags">
 
 Here's an example of how to implement tag-based masking policies with contracts and constraints using the following syntax:

From 9845a0579a4c2c5d55d9135dd90cb3dc0eb71d5a Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Fri, 4 Oct 2024 15:07:26 +0100
Subject: [PATCH 178/200] fix typos

---
 website/docs/docs/build/snapshots.md    | 30 ++++++++++++++++---------
 website/snippets/_snapshot-yaml-spec.md |  4 +++-
 2 files changed, 22 insertions(+), 12 deletions(-)

diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index c17350ab368..0762ea7b086 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -52,20 +52,25 @@ It is not possible to "preview data" or "compile sql" for snapshots in dbt Cloud
 
 <VersionBlock firstVersion="1.9">
 
-In dbt Cloud Versionless and dbt Core v1.9 and later, snapshots are configurations defined in YAML files (typically in your snapshots directory). You'll configure your snapshot to tell dbt how to detect record changes.
+Configure your snapshots in YAML files (typically in your snapshots directory) to tell dbt how to detect record changes. Define snapshots configurations. Configuring in YAML files (alongside your models) provides a cleaner and more consistent set up. 
 
 <File name='snapshots/orders_snapshot.yml'>
-  
+
 ```yaml
 snapshots:
-  - name: orders_snapshot
-    relation: source('jaffle_shop', 'orders')
+  - name: <string>
+    relation: <source> # source('my_source', 'my_table')
     config:
-      schema: snapshots
-      database: analytics
-      unique_key: id
-      strategy: timestamp
-      updated_at: updated_at
+      [database](/reference/resource-configs/database): <string>
+      [schema](/reference/resource-configs/schema): <string>
+      [alias](/reference/resource-configs/alias): <string>
+      [strategy](/reference/resource-configs/strategy): timestamp | check
+      [unique_key](/reference/resource-configs/unique_key): <column_name_or_expression>
+      [check_cols](/reference/resource-configs/check_cols): [<column_name>] | all
+      [updated_at](/reference/resource-configs/updated_at): <column_name>
+      [invalidate_hard_deletes](/reference/resource-configs/invalidate_hard_deletes): true | false
+      [snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names): {<dictionary>}
+
 ```
 
 </File>
@@ -82,6 +87,7 @@ The following table outlines the configurations available for snapshots:
 | [check_cols](/reference/resource-configs/check_cols) | If using the `check` strategy, then the columns to check | Only if using the `check` strategy | ["status"] |
 | [updated_at](/reference/resource-configs/updated_at) | If using the `timestamp` strategy, the timestamp column to compare | Only if using the `timestamp` strategy | updated_at |
 | [invalidate_hard_deletes](/reference/resource-configs/invalidate_hard_deletes) | Find hard deleted records in source and set `dbt_valid_to` to current time if the record no longer exists | No | True |
+| [snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names) | Customize the names of the snapshot meta fields | No | {<dictionary>} |
 
 - In versions prior to v1.9, the `target_schema` (required) and `target_database` (optional) configurations defined a single schema or database to build a snapshot across users and environment. This created problems when testing or developing a snapshot, as there was no clear separation between development and production environments.  In v1.9, `target_schema` became optional, allowing snapshots to be environment-aware. By default, without `target_schema` or `target_database` defined, snapshots now use the `generate_schema_name` or `generate_database_name` macros to determine where to build. Developers can still set a custom location with [`schema`](/reference/resource-configs/schema) and [`database`](/reference/resource-configs/database)  configs, consistent with other resource types.
 - A number of other configurations are also supported (for example, `tags` and `post-hook`). For the complete list, refer to [Snapshot configurations](/reference/snapshot-configs).
@@ -160,7 +166,7 @@ To add a snapshot to your project follow these steps. For users on versions 1.8
 
 ### Configuration best practices
 
-<Expandable alt_header="Use thetimestamp strategy where possible">
+<Expandable alt_header="Use the timestamp strategy where possible">
 
 This strategy handles column additions and deletions better than the `check` strategy.
 
@@ -188,7 +194,7 @@ Snapshots can't be rebuilt. Because of this, it's a good idea to put snapshots i
 
 </Expandable>
 
-<Expandable alt_header="Use ephemeral model to clean or tranform data before snapshotting">
+<Expandable alt_header="Use ephemeral model to clean or transform data before snapshotting">
 
  If you need to clean or transform your data before snapshotting, create an ephemeral model (or a staging model) that applies the necessary transformations. Then, reference this model in your snapshot configuration. This approach keeps your snapshot definitions clean and allows you to test and run transformations separately.
 
@@ -203,6 +209,8 @@ When you run the [`dbt snapshot` command](/reference/commands/snapshot):
   - The `dbt_valid_to` column will be updated for any existing records that have changed
   - The updated record and any new records will be inserted into the snapshot table. These records will now have `dbt_valid_to = null`
 
+Note, these column names can be customized to your team or organizational conventions using the [snapshot_meta_column_names](#snapshot-meta-fields) config.
+
 Snapshots can be referenced in downstream models the same way as referencing models — by using the [ref](/reference/dbt-jinja-functions/ref) function.
 
 ## Detecting row changes
diff --git a/website/snippets/_snapshot-yaml-spec.md b/website/snippets/_snapshot-yaml-spec.md
index 8bbdc6be72e..cb1675ce5bd 100644
--- a/website/snippets/_snapshot-yaml-spec.md
+++ b/website/snippets/_snapshot-yaml-spec.md
@@ -1,4 +1,6 @@
 :::info Use the latest snapshot syntax
 
-In Versionless and dbt v1.9 and later, snapshots are defined in an updated syntax using a YAML file within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). For faster and more efficient management, consider the updated snapshot YAML syntax, [available in Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core).
+In [dbt Cloud Versionless](/docs/dbt-versions/versionless-cloud) or [dbt Core v1.9 and later](/docs/dbt-versions/core), you can configure snapshots in YAML files using the updated syntax within your `snapshots/` directory (as defined by the [`snapshot-paths` config](/reference/project-configs/snapshot-paths)). 
+
+This syntax allows for faster, more efficient snapshot management. To use it, upgrade to Versionless or dbt v1.9 or newer.
 :::

From e5b10a400c113afb92f9af19c0f8f6f787920d9a Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Fri, 4 Oct 2024 15:09:47 +0100
Subject: [PATCH 179/200] update staging

---
 website/docs/docs/build/snapshots.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index 0762ea7b086..49f479fa1f9 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -196,7 +196,7 @@ Snapshots can't be rebuilt. Because of this, it's a good idea to put snapshots i
 
 <Expandable alt_header="Use ephemeral model to clean or transform data before snapshotting">
 
- If you need to clean or transform your data before snapshotting, create an ephemeral model (or a staging model) that applies the necessary transformations. Then, reference this model in your snapshot configuration. This approach keeps your snapshot definitions clean and allows you to test and run transformations separately.
+ If you need to clean or transform your data before snapshotting, create an ephemeral model or a staging model that applies the necessary transformations. Then, reference this model in your snapshot configuration. This approach keeps your snapshot definitions clean and allows you to test and run transformations separately.
 
 </Expandable>
 </VersionBlock>

From dcb2ce4872272402cadf28a538c1e98be516efbc Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Fri, 4 Oct 2024 15:15:15 +0100
Subject: [PATCH 180/200] update

---
 website/docs/docs/build/snapshots.md | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index 49f479fa1f9..a83ff06de06 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -59,17 +59,17 @@ Configure your snapshots in YAML files (typically in your snapshots directory) t
 ```yaml
 snapshots:
   - name: <string>
-    relation: <source> # source('my_source', 'my_table')
+    relation: source> # source('my_source', 'my_table')
     config:
-      [database](/reference/resource-configs/database): <string>
-      [schema](/reference/resource-configs/schema): <string>
-      [alias](/reference/resource-configs/alias): <string>
+      [database](/reference/resource-configs/database): string
+      [schema](/reference/resource-configs/schema): string
+      [alias](/reference/resource-configs/alias):string
       [strategy](/reference/resource-configs/strategy): timestamp | check
-      [unique_key](/reference/resource-configs/unique_key): <column_name_or_expression>
-      [check_cols](/reference/resource-configs/check_cols): [<column_name>] | all
-      [updated_at](/reference/resource-configs/updated_at): <column_name>
+      [unique_key](/reference/resource-configs/unique_key): column_name_or_expression
+      [check_cols](/reference/resource-configs/check_cols): [column_name] | all
+      [updated_at](/reference/resource-configs/updated_at): column_name
       [invalidate_hard_deletes](/reference/resource-configs/invalidate_hard_deletes): true | false
-      [snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names): {<dictionary>}
+      [snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names): {dictionary}
 
 ```
 

From a93cb2fa0849ea6ad9bfaadec4ae8bef6576c0ea Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Fri, 4 Oct 2024 15:15:44 +0100
Subject: [PATCH 181/200] remove arrows

---
 website/docs/docs/build/snapshots.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index a83ff06de06..4b68dfb074b 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -58,8 +58,8 @@ Configure your snapshots in YAML files (typically in your snapshots directory) t
 
 ```yaml
 snapshots:
-  - name: <string>
-    relation: source> # source('my_source', 'my_table')
+  - name: string
+    relation: source # source('my_source', 'my_table')
     config:
       [database](/reference/resource-configs/database): string
       [schema](/reference/resource-configs/schema): string
@@ -87,7 +87,7 @@ The following table outlines the configurations available for snapshots:
 | [check_cols](/reference/resource-configs/check_cols) | If using the `check` strategy, then the columns to check | Only if using the `check` strategy | ["status"] |
 | [updated_at](/reference/resource-configs/updated_at) | If using the `timestamp` strategy, the timestamp column to compare | Only if using the `timestamp` strategy | updated_at |
 | [invalidate_hard_deletes](/reference/resource-configs/invalidate_hard_deletes) | Find hard deleted records in source and set `dbt_valid_to` to current time if the record no longer exists | No | True |
-| [snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names) | Customize the names of the snapshot meta fields | No | {<dictionary>} |
+| [snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names) | Customize the names of the snapshot meta fields | No | {dictionary} |
 
 - In versions prior to v1.9, the `target_schema` (required) and `target_database` (optional) configurations defined a single schema or database to build a snapshot across users and environment. This created problems when testing or developing a snapshot, as there was no clear separation between development and production environments.  In v1.9, `target_schema` became optional, allowing snapshots to be environment-aware. By default, without `target_schema` or `target_database` defined, snapshots now use the `generate_schema_name` or `generate_database_name` macros to determine where to build. Developers can still set a custom location with [`schema`](/reference/resource-configs/schema) and [`database`](/reference/resource-configs/database)  configs, consistent with other resource types.
 - A number of other configurations are also supported (for example, `tags` and `post-hook`). For the complete list, refer to [Snapshot configurations](/reference/snapshot-configs).

From 0a3b4ae40764f2e2479a5e5498376d7673e69750 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Fri, 4 Oct 2024 15:28:52 +0100
Subject: [PATCH 182/200] Update website/docs/docs/build/snapshots.md

---
 website/docs/docs/build/snapshots.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index 4b68dfb074b..910a58ab2cd 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -63,7 +63,7 @@ snapshots:
     config:
       [database](/reference/resource-configs/database): string
       [schema](/reference/resource-configs/schema): string
-      [alias](/reference/resource-configs/alias):string
+      [alias](/reference/resource-configs/alias): string
       [strategy](/reference/resource-configs/strategy): timestamp | check
       [unique_key](/reference/resource-configs/unique_key): column_name_or_expression
       [check_cols](/reference/resource-configs/check_cols): [column_name] | all

From 5289c4c3f75fdbac67ed0f26ed1a3e9806fe04ab Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Fri, 4 Oct 2024 15:35:56 +0100
Subject: [PATCH 183/200] fix error

---
 website/docs/docs/build/snapshots.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index 910a58ab2cd..c11b7c4b76c 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -69,7 +69,7 @@ snapshots:
       [check_cols](/reference/resource-configs/check_cols): [column_name] | all
       [updated_at](/reference/resource-configs/updated_at): column_name
       [invalidate_hard_deletes](/reference/resource-configs/invalidate_hard_deletes): true | false
-      [snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names): {dictionary}
+      [snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names): dictionary
 
 ```
 
@@ -87,7 +87,7 @@ The following table outlines the configurations available for snapshots:
 | [check_cols](/reference/resource-configs/check_cols) | If using the `check` strategy, then the columns to check | Only if using the `check` strategy | ["status"] |
 | [updated_at](/reference/resource-configs/updated_at) | If using the `timestamp` strategy, the timestamp column to compare | Only if using the `timestamp` strategy | updated_at |
 | [invalidate_hard_deletes](/reference/resource-configs/invalidate_hard_deletes) | Find hard deleted records in source and set `dbt_valid_to` to current time if the record no longer exists | No | True |
-| [snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names) | Customize the names of the snapshot meta fields | No | {dictionary} |
+| [snapshot_meta_column_names](/reference/resource-configs/snapshot_meta_column_names) | Customize the names of the snapshot meta fields | No | dictionary |
 
 - In versions prior to v1.9, the `target_schema` (required) and `target_database` (optional) configurations defined a single schema or database to build a snapshot across users and environment. This created problems when testing or developing a snapshot, as there was no clear separation between development and production environments.  In v1.9, `target_schema` became optional, allowing snapshots to be environment-aware. By default, without `target_schema` or `target_database` defined, snapshots now use the `generate_schema_name` or `generate_database_name` macros to determine where to build. Developers can still set a custom location with [`schema`](/reference/resource-configs/schema) and [`database`](/reference/resource-configs/database)  configs, consistent with other resource types.
 - A number of other configurations are also supported (for example, `tags` and `post-hook`). For the complete list, refer to [Snapshot configurations](/reference/snapshot-configs).

From a3f893b1594a669c57271acc255cee9df296d75a Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Fri, 4 Oct 2024 15:54:50 +0100
Subject: [PATCH 184/200] reword

---
 website/docs/docs/build/snapshots.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index c11b7c4b76c..4a20742eb8f 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -52,7 +52,7 @@ It is not possible to "preview data" or "compile sql" for snapshots in dbt Cloud
 
 <VersionBlock firstVersion="1.9">
 
-Configure your snapshots in YAML files (typically in your snapshots directory) to tell dbt how to detect record changes. Define snapshots configurations. Configuring in YAML files (alongside your models) provides a cleaner and more consistent set up. 
+Configure your snapshots in YAML files to tell dbt how to detect record changes. Define snapshots configurations in YAML files, alongside your models, for a cleaner, faster, and more consistent set up. 
 
 <File name='snapshots/orders_snapshot.yml'>
 

From 6fc9a8996e22935f1ebb8ccb00343286c4a7dd62 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Fri, 4 Oct 2024 16:22:35 +0100
Subject: [PATCH 185/200] Update website/docs/docs/build/snapshots.md

Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
---
 website/docs/docs/build/snapshots.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/build/snapshots.md b/website/docs/docs/build/snapshots.md
index 4a20742eb8f..f5321aa626a 100644
--- a/website/docs/docs/build/snapshots.md
+++ b/website/docs/docs/build/snapshots.md
@@ -59,7 +59,7 @@ Configure your snapshots in YAML files to tell dbt how to detect record changes.
 ```yaml
 snapshots:
   - name: string
-    relation: source # source('my_source', 'my_table')
+    relation: relation # source('my_source', 'my_table') or ref('my_model')
     config:
       [database](/reference/resource-configs/database): string
       [schema](/reference/resource-configs/schema): string

From c6e790062a5819bfdda3bbd42ee87c6c676ff4eb Mon Sep 17 00:00:00 2001
From: Amy Chen <46451573+amychen1776@users.noreply.github.com>
Date: Fri, 4 Oct 2024 12:53:38 -0400
Subject: [PATCH 186/200] Update
 website/docs/docs/cloud/connect-data-platform/connect-teradata.md

---
 .../docs/docs/cloud/connect-data-platform/connect-teradata.md   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/cloud/connect-data-platform/connect-teradata.md b/website/docs/docs/cloud/connect-data-platform/connect-teradata.md
index 98519aaff31..4270cc0fafa 100644
--- a/website/docs/docs/cloud/connect-data-platform/connect-teradata.md
+++ b/website/docs/docs/cloud/connect-data-platform/connect-teradata.md
@@ -14,7 +14,7 @@ Your environment(s) must be on ["Versionless"](/docs/dbt-versions/versionless-cl
 | Host                          | Host name of your Teradata environment.                                                        | String         | Required  | host-name.env.clearscape.teradata.com |
 | Port                          | The database port number. Equivalent to the Teradata JDBC Driver DBS_PORT connection parameter.| Quoted integer | Optional  | "1025 |
 | Retries                       | Number of times to retry to connect to database upon error.                                   | Integer        | optional  | 10 |
-| Request timeout               | The waiting period between connections attempts in seconds. Default is "1" second.            | Quoted integer | Optional  | "3" |
+| Request timeout               | The waiting period between connections attempts in seconds. Default is "1" second.            | Quoted integer | Optional  | 3 |
 
 <Lightbox src="/img/docs/dbt-cloud/teradata-connection.png" title="Example of the Teradata connection fields." />
 

From 3d28feb5048e2235c0149eb5888904e6974e28b6 Mon Sep 17 00:00:00 2001
From: Amy Chen <46451573+amychen1776@users.noreply.github.com>
Date: Fri, 4 Oct 2024 12:53:44 -0400
Subject: [PATCH 187/200] Update
 website/docs/docs/cloud/connect-data-platform/connect-teradata.md

---
 .../docs/docs/cloud/connect-data-platform/connect-teradata.md   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/cloud/connect-data-platform/connect-teradata.md b/website/docs/docs/cloud/connect-data-platform/connect-teradata.md
index 4270cc0fafa..cf41814078b 100644
--- a/website/docs/docs/cloud/connect-data-platform/connect-teradata.md
+++ b/website/docs/docs/cloud/connect-data-platform/connect-teradata.md
@@ -12,7 +12,7 @@ Your environment(s) must be on ["Versionless"](/docs/dbt-versions/versionless-cl
 | Field                         | Description                                                                                   | Type           | Required? | Example |
 | ----------------------------- | --------------------------------------------------------------------------------------------- | -------------- | --------- | ------- |
 | Host                          | Host name of your Teradata environment.                                                        | String         | Required  | host-name.env.clearscape.teradata.com |
-| Port                          | The database port number. Equivalent to the Teradata JDBC Driver DBS_PORT connection parameter.| Quoted integer | Optional  | "1025 |
+| Port                          | The database port number. Equivalent to the Teradata JDBC Driver DBS_PORT connection parameter.| Quoted integer | Optional  | 1025 |
 | Retries                       | Number of times to retry to connect to database upon error.                                   | Integer        | optional  | 10 |
 | Request timeout               | The waiting period between connections attempts in seconds. Default is "1" second.            | Quoted integer | Optional  | 3 |
 

From d880af3e07344dfa0f6a0ff4db9939617a2f3ecd Mon Sep 17 00:00:00 2001
From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com>
Date: Fri, 4 Oct 2024 11:59:13 -0700
Subject: [PATCH 188/200] Adding link to microbatch from the 1.9 upgrade guide
 (#6243)

## What are you changing in this pull request and why?

When we published this guide, the microbatch docs weren't live yet. Now
that it's live, let's link to it!


[Preview](https://docs-getdbt-com-git-runleonarun-patch-15-dbt-labs.vercel.app/docs/dbt-versions/core-upgrade/upgrading-to-v1.9#microbatch-incremental_strategy)

## Checklist
- [ ] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [ ] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [ ] I have added checklist item(s) to this list for anything anything
that needs to happen before this PR is merged, such as "needs technical
review" or "change base branch."
<!--
PRE-RELEASE VERSION OF dbt (if so, uncomment):
- [ ] Add a note to the prerelease version [Migration
Guide](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/core-upgrade)
-->
<!--
ADDING OR REMOVING PAGES (if so, uncomment):
- [ ] Add/remove page in `website/sidebars.js`
- [ ] Provide a unique filename for new pages
- [ ] Add an entry for deleted pages in `website/vercel.json`
- [ ] Run link testing locally with `npm run build` to update the links
that point to deleted pages
-->
---
 .../docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.9.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.9.md b/website/docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.9.md
index cf9b9eaed4e..29f3650e7a6 100644
--- a/website/docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.9.md
+++ b/website/docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.9.md
@@ -42,7 +42,7 @@ Historically, managing incremental models involved several manual steps and resp
 
 While this works for many use-cases, there’s a clear limitation with this approach: *Some datasets are just too big to fit into one query.*
 
-Starting in Core 1.9, you can use the new microbatch strategy to optimize your largest datasets  -- **process your event data in discrete periods with their own SQL queries, rather than all at once.** The benefits include:
+Starting in Core 1.9, you can use the new [microbatch strategy](/docs/build/incremental-microbatch#what-is-microbatch-in-dbt) to optimize your largest datasets  -- **process your event data in discrete periods with their own SQL queries, rather than all at once.** The benefits include:
 
 - Simplified query design: Write your model query for a single batch of data. dbt will use your `event_time`, `lookback`, and `batch_size` configurations to automatically generate the necessary filters for you, making the process more streamlined and reducing the need for you to manage these details.
 - Independent batch processing: dbt automatically breaks down the data to load into smaller batches based on the specified `batch_size` and processes each batch independently, improving efficiency and reducing the risk of query timeouts. If some of your batches fail, you can use `dbt retry` to load only the failed batches.

From 0836cc62bd07be1f6edbf9180c9bf581781e13df Mon Sep 17 00:00:00 2001
From: Adam Tworkiewicz <adamtwo@users.noreply.github.com>
Date: Fri, 4 Oct 2024 14:59:09 -0500
Subject: [PATCH 189/200] Dbt cloud teradata quickstart (#6246)

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---------

Co-authored-by: Talla, Mohan <Mohan.Talla@Teradata.com>
Co-authored-by: Adam Tworkiewicz <adam.tworkiewicz@teradata.com>
---
 website/docs/guides/teradata-qs.md            | 399 ++++++++++++++++++
 .../dbt_cloud_teradata_account_settings.png   | Bin 0 -> 49986 bytes
 ...cloud_teradata_development_credentials.png | Bin 0 -> 64696 bytes
 ..._cloud_teradata_setup_connection_start.png | Bin 0 -> 51532 bytes
 4 files changed, 399 insertions(+)
 create mode 100644 website/docs/guides/teradata-qs.md
 create mode 100644 website/static/img/teradata/dbt_cloud_teradata_account_settings.png
 create mode 100644 website/static/img/teradata/dbt_cloud_teradata_development_credentials.png
 create mode 100644 website/static/img/teradata/dbt_cloud_teradata_setup_connection_start.png

diff --git a/website/docs/guides/teradata-qs.md b/website/docs/guides/teradata-qs.md
new file mode 100644
index 00000000000..a486ed537ba
--- /dev/null
+++ b/website/docs/guides/teradata-qs.md
@@ -0,0 +1,399 @@
+---
+title: "Quickstart for dbt Cloud and Teradata"
+id: "teradata"
+level: 'Beginner'
+icon: 'teradata'
+tags: ['dbt Cloud','Quickstart','Teradata']
+hide_table_of_contents: true
+---
+
+<div style={{maxWidth:'900px'}}>
+
+## Introduction
+
+In this quickstart guide, you'll learn how to use dbt Cloud with Teradata Vantage. It will show you how to: 
+
+- Create a new Teradata Clearscape instance
+- Load sample data into your Teradata Database
+- Connect dbt Cloud to Teradata.
+- Take a sample query and turn it into a model in your dbt project. A model in dbt is a select statement.
+- Add tests to your models.
+- Document your models.
+- Schedule a job to run.
+
+:::tip Videos for you
+You can check out [dbt Fundamentals](https://learn.getdbt.com/courses/dbt-fundamentals) for free if you're interested in course learning with videos.
+:::
+
+### Prerequisites​
+
+- You have a [dbt Cloud account](https://www.getdbt.com/signup/). 
+- You have access to a Teradata Vantage instance. You can provision one for free at https://clearscape.teradata.com. See [the ClearScape Analytics Experience guide](https://developers.teradata.com/quickstarts/get-access-to-vantage/clearscape-analytics-experience/getting-started-with-csae/) for details.
+
+
+### Related content
+
+- Learn more with [dbt Learn courses](https://learn.getdbt.com)
+- [How we provision Teradata Clearscape Vantage instance](https://developers.teradata.com/quickstarts/get-access-to-vantage/clearscape-analytics-experience/getting-started-with-csae/)
+- [CI jobs](/docs/deploy/continuous-integration)
+- [Deploy jobs](/docs/deploy/deploy-jobs)
+- [Job notifications](/docs/deploy/job-notifications)
+- [Source freshness](/docs/deploy/source-freshness)
+
+## Load data 
+
+The data used here is stored as CSV files in a public S3 bucket and the following steps will guide you through how to insert these data into the tables.
+
+:::tip SQL IDE
+
+If you are using a Teradata Vantage database instance created at https://clearscape.teradata.com and you don't have an SQL IDE handy, you can execute SQL from within JupyterLab that is bundled with your database:
+1. Go back to [ClearScape Analytics Experience dashboard](https://clearscape.teradata.com/dashboard) and click on `Run Demos` button. This will launch JupyterLab.
+
+2. In JupyterLab, go to Launcher by pressing the blue `+` button in the top left corner. Go to `Notebooks` section and choose `Teradata SQL`.
+
+3. In the first cell of the notebook connect to the database using `connect` magic. You will be prompted to enter your database password when you execute it:
+    ```ipynb
+    %connect local
+    ```
+4. Use additional cells to type and run SQL statements.
+
+:::
+
+1. Use your favorite SQL IDE editor to create 2 databases: `jaffle_shop` and `stripe`:
+
+    ```sql
+    CREATE DATABASE jaffle_shop AS PERM = 1e9;
+    CREATE DATABASE stripe AS PERM = 1e9;
+    ```
+
+2. In the databases `jaffle_shop` and `stripe`, create 3 foreign tables and reference the respective csv files located in object storage:
+
+   ```sql
+   CREATE FOREIGN TABLE jaffle_shop.customers (
+        id integer,
+        first_name varchar (100),
+        last_name varchar (100)
+    )
+    USING (
+        LOCATION ('/s3/dbt-tutorial-public.s3.amazonaws.com/jaffle_shop_customers.csv')
+    )
+    NO PRIMARY INDEX;
+
+    CREATE FOREIGN TABLE jaffle_shop.orders (
+        id integer,
+        user_id integer,
+        order_date date,
+        status varchar(100)
+    )
+    USING (
+        LOCATION ('/s3/dbt-tutorial-public.s3.amazonaws.com/jaffle_shop_orders.csv')
+    )
+    NO PRIMARY INDEX;
+
+    CREATE FOREIGN TABLE stripe.payment (
+        id integer,
+        orderid integer,
+        paymentmethod varchar (100),
+        status varchar (100),
+        amount integer,
+        created date
+    )
+    USING (
+        LOCATION ('/s3/dbt-tutorial-public.s3.amazonaws.com/stripe_payments.csv')
+    )
+    NO PRIMARY INDEX;    
+   ```
+
+## Connect dbt cloud to Teradata
+
+1. Create a new project in dbt Cloud. From Account settings (using the gear menu in the top right corner), click + New Project.
+   
+2. Enter a project name and click Continue.
+
+3. In "Configure your development environment", click “Add new connection”
+
+4. Select "Teradata", fill in all the required details in the "Settings" section and test the connection.
+
+   <Lightbox src="/img/teradata/dbt_cloud_teradata_setup_connection_start.png" title="dbt Cloud - Choose Teradata Connection" />
+    
+   <Lightbox src="/img/teradata/dbt_cloud_teradata_account_settings.png" title="dbt Cloud - Teradata Account Settings" />
+
+5. Enter your **Development Credentials** for Teradata with: 
+    * **Username** &mdash; The username of Teradata database.
+    * **Password** &mdash; The password of Teradata database.
+    * **Schema** &mdash; The default database to use
+    
+    <Lightbox src="/img/teradata/dbt_cloud_teradata_development_credentials.png" title="dbt Cloud - Teradata Development Credentials" />
+
+6. Click Test Connection. This verifies that dbt Cloud can access your Teradata Vantage instance.
+7. If the connection test succeeds, click Next. If it fails, you may need to check your Teradata settings and credentials.
+
+## Set up a dbt Cloud managed repository 
+
+<Snippet path="tutorial-managed-repo" />
+
+## Initialize your dbt project​ and start developing
+Now that you have a repository configured, you can initialize your project and start development in dbt Cloud:
+
+1. Click **Start developing in the IDE**. It might take a few minutes for your project to spin up for the first time as it establishes your git connection, clones your repo, and tests the connection to the warehouse.
+2. Above the file tree to the left, click **Initialize your project**. This builds out your folder structure with example models.
+3. Make your initial commit by clicking **Commit and sync**. Use the commit message `initial commit`. This creates the first commit to your managed repo and allows you to open a branch where you can add new dbt code.
+4. You can now directly query data from your warehouse and execute `dbt run`. You can try this out now:
+    - Click **+ Create new file**, add this query to the new file, and click **Save as** to save the new file: 
+        ```sql
+        select * from jaffle_shop.customers
+        ```
+    - In the command line bar at the bottom, enter `dbt run` and click **Enter**. You should see a `dbt run succeeded` message.
+
+## Build your first model
+
+You have two options for working with files in the dbt Cloud IDE:
+
+- Create a new branch (recommended) &mdash; Create a new branch to edit and commit your changes. Navigate to **Version Control** on the left sidebar and click **Create branch**.
+- Edit in the protected primary branch &mdash; If you prefer to edit, format, or lint files and execute dbt commands directly in your primary git branch. The dbt Cloud IDE prevents commits to the protected branch, so you will be prompted to commit your changes to a new branch.
+
+Name the new branch `add-customers-model`.
+
+1. Click the **...** next to the `models` directory, then select **Create file**.  
+2. Name the file `customers.sql`, then click **Create**.
+3. Copy the following query into the file and click **Save**.
+
+```sql
+with customers as (
+
+    select
+        id as customer_id,
+        first_name,
+        last_name
+
+    from jaffle_shop.customers
+
+),
+
+orders as (
+
+    select
+        id as order_id,
+        user_id as customer_id,
+        order_date,
+        status
+
+    from jaffle_shop.orders
+
+),
+
+customer_orders as (
+
+    select
+        customer_id,
+
+        min(order_date) as first_order_date,
+        max(order_date) as most_recent_order_date,
+        count(order_id) as number_of_orders
+
+    from orders
+
+    group by 1
+
+),
+
+final as (
+
+    select
+        customers.customer_id,
+        customers.first_name,
+        customers.last_name,
+        customer_orders.first_order_date,
+        customer_orders.most_recent_order_date,
+        coalesce(customer_orders.number_of_orders, 0) as number_of_orders
+
+    from customers
+
+    left join customer_orders using (customer_id)
+
+)
+
+select * from final
+```
+
+4. Enter `dbt run` in the command prompt at the bottom of the screen. You should get a successful run and see the three models.
+
+Later, you can connect your business intelligence (BI) tools to these views and tables so they only read cleaned up data rather than raw data in your BI tool.
+
+## Change the way your model is materialized
+
+<Snippet path="quickstarts/change-way-model-materialized" />
+
+## Delete the example models
+
+<Snippet path="quickstarts/delete-example-models" />
+
+## Build models on top of other models
+
+<Snippet path="quickstarts/intro-build-models-atop-other-models" />
+
+1. Create a new SQL file, `models/stg_customers.sql`, with the SQL from the `customers` CTE in our original query.
+2. Create a second new SQL file, `models/stg_orders.sql`, with the SQL from the `orders` CTE in our original query.
+
+    <File name='models/stg_customers.sql'>
+
+    ```sql
+    select
+        id as customer_id,
+        first_name,
+        last_name
+
+    from jaffle_shop.customers
+    ```
+
+    </File>
+
+    <File name='models/stg_orders.sql'>
+
+    ```sql
+    select
+        id as order_id,
+        user_id as customer_id,
+        order_date,
+        status
+
+    from jaffle_shop.orders
+    ```
+
+    </File>
+
+3. Edit the SQL in your `models/customers.sql` file as follows:
+
+    <File name='models/customers.sql'>
+
+    ```sql
+    with customers as (
+
+        select * from {{ ref('stg_customers') }}
+
+    ),
+
+    orders as (
+
+        select * from {{ ref('stg_orders') }}
+
+    ),
+
+    customer_orders as (
+
+        select
+            customer_id,
+
+            min(order_date) as first_order_date,
+            max(order_date) as most_recent_order_date,
+            count(order_id) as number_of_orders
+
+        from orders
+
+        group by 1
+
+    ),
+
+    final as (
+
+        select
+            customers.customer_id,
+            customers.first_name,
+            customers.last_name,
+            customer_orders.first_order_date,
+            customer_orders.most_recent_order_date,
+            coalesce(customer_orders.number_of_orders, 0) as number_of_orders
+
+        from customers
+
+        left join customer_orders using (customer_id)
+
+    )
+
+    select * from final
+    
+    ```
+
+    </File>
+
+4. Execute `dbt run`.
+
+    This time, when you performed a `dbt run`, separate views/tables were created for `stg_customers`, `stg_orders` and `customers`. dbt inferred the order to run these models. Because `customers` depends on `stg_customers` and `stg_orders`, dbt builds `customers` last. You do not need to explicitly define these dependencies.
+
+#### FAQs {#faq-2}
+
+<FAQ path="Runs/run-one-model" />
+<FAQ path="Project/unique-resource-names" />
+<FAQ path="Project/structure-a-project" alt_header="As I create more models, how should I keep my project organized? What should I name my models?" />
+
+## Build models on top of sources
+
+Sources make it possible to name and describe the data loaded into your warehouse by your extract and load tools. By declaring these tables as sources in dbt, you can:
+- select from source tables in your models using the `{{ source() }}` function, helping define the lineage of your data
+- test your assumptions about your source data
+- calculate the freshness of your source data
+
+1. Create a new YML file `models/sources.yml`.
+2. Declare the sources by copying the following into the file and clicking **Save**.
+
+    <File name='models/sources.yml'>
+
+    ```yml
+    version: 2
+
+    sources:
+        - name: jaffle_shop
+          description: This is a replica of the Postgres database used by our app
+          database: raw
+          schema: jaffle_shop
+          tables:
+              - name: customers
+                description: One record per customer.
+              - name: orders
+                description: One record per order. Includes cancelled and deleted orders.
+    ```
+
+    </File>
+
+3. Edit the `models/stg_customers.sql` file to select from the `customers` table in the `jaffle_shop` source.
+
+    <File name='models/stg_customers.sql'>
+
+    ```sql
+    select
+        id as customer_id,
+        first_name,
+        last_name
+
+    from {{ source('jaffle_shop', 'customers') }}
+    ```
+
+    </File>
+
+4. Edit the `models/stg_orders.sql` file to select from the `orders` table in the `jaffle_shop` source.
+
+    <File name='models/stg_orders.sql'>
+
+    ```sql
+    select
+        id as order_id,
+        user_id as customer_id,
+        order_date,
+        status
+
+    from {{ source('jaffle_shop', 'orders') }}
+    ```
+
+    </File>
+
+5. Execute `dbt run`. 
+
+    The results of your `dbt run` will be exactly the same as the previous step. Your `stg_customers` and `stg_orders`
+    models will still query from the same raw data source in Teradata. By using `source`, you can
+    test and document your raw data and also understand the lineage of your sources. 
+
+</div>
+
+<Snippet path="quickstarts/test-and-document-your-project" />
+
+<Snippet path="quickstarts/schedule-a-job" />
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From 795c4f7886caa98877c71326155a4c61d4d4e7a3 Mon Sep 17 00:00:00 2001
From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com>
Date: Fri, 4 Oct 2024 17:33:29 -0400
Subject: [PATCH 190/200] Editing teradata guide (#6248)

## What are you changing in this pull request and why?

Editorial review of the Teradata QS guide

## Checklist
- [ ] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [ ] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [ ] I have added checklist item(s) to this list for anything anything
that needs to happen before this PR is merged, such as "needs technical
review" or "change base branch."
<!--
PRE-RELEASE VERSION OF dbt (if so, uncomment):
- [ ] Add a note to the prerelease version [Migration
Guide](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/core-upgrade)
-->
<!--
ADDING OR REMOVING PAGES (if so, uncomment):
- [ ] Add/remove page in `website/sidebars.js`
- [ ] Provide a unique filename for new pages
- [ ] Add an entry for deleted pages in `website/vercel.json`
- [ ] Run link testing locally with `npm run build` to update the links
that point to deleted pages
-->
---
 website/docs/guides/teradata-qs.md | 417 +++++++++++++++--------------
 1 file changed, 209 insertions(+), 208 deletions(-)

diff --git a/website/docs/guides/teradata-qs.md b/website/docs/guides/teradata-qs.md
index a486ed537ba..da951620515 100644
--- a/website/docs/guides/teradata-qs.md
+++ b/website/docs/guides/teradata-qs.md
@@ -11,7 +11,7 @@ hide_table_of_contents: true
 
 ## Introduction
 
-In this quickstart guide, you'll learn how to use dbt Cloud with Teradata Vantage. It will show you how to: 
+In this quickstart guide, you'll learn how to use dbt Cloud with Teradata Vantage. It will show you how to:
 
 - Create a new Teradata Clearscape instance
 - Load sample data into your Teradata Database
@@ -27,10 +27,9 @@ You can check out [dbt Fundamentals](https://learn.getdbt.com/courses/dbt-fundam
 
 ### Prerequisites​
 
-- You have a [dbt Cloud account](https://www.getdbt.com/signup/). 
+- You have a [dbt Cloud account](https://www.getdbt.com/signup/).
 - You have access to a Teradata Vantage instance. You can provision one for free at https://clearscape.teradata.com. See [the ClearScape Analytics Experience guide](https://developers.teradata.com/quickstarts/get-access-to-vantage/clearscape-analytics-experience/getting-started-with-csae/) for details.
 
-
 ### Related content
 
 - Learn more with [dbt Learn courses](https://learn.getdbt.com)
@@ -40,185 +39,186 @@ You can check out [dbt Fundamentals](https://learn.getdbt.com/courses/dbt-fundam
 - [Job notifications](/docs/deploy/job-notifications)
 - [Source freshness](/docs/deploy/source-freshness)
 
-## Load data 
+## Load data
 
-The data used here is stored as CSV files in a public S3 bucket and the following steps will guide you through how to insert these data into the tables.
+The following steps will guide you through how to get the data stored as CSV files in a public S3 bucket and insert it into the tables.
 
 :::tip SQL IDE
 
-If you are using a Teradata Vantage database instance created at https://clearscape.teradata.com and you don't have an SQL IDE handy, you can execute SQL from within JupyterLab that is bundled with your database:
-1. Go back to [ClearScape Analytics Experience dashboard](https://clearscape.teradata.com/dashboard) and click on `Run Demos` button. This will launch JupyterLab.
+If you created your Teradata Vantage database instance at https://clearscape.teradata.com and you don't have an SQL IDE handy, use the JupyterLab bundled with your database to execute SQL:
+
+1. Navigate to [ClearScape Analytics Experience dashboard](https://clearscape.teradata.com/dashboard) and click the **Run Demos** button. The demo will launch JupyterLab.
 
-2. In JupyterLab, go to Launcher by pressing the blue `+` button in the top left corner. Go to `Notebooks` section and choose `Teradata SQL`.
+2. In JupyterLab, go to **Launcher** by clicking the blue **+** icon in the top left corner. Find the **Notebooks** section and click **Teradata SQL**.
 
-3. In the first cell of the notebook connect to the database using `connect` magic. You will be prompted to enter your database password when you execute it:
-    ```ipynb
-    %connect local
-    ```
+3. In the notebook's first cell, connect to the database using `connect` magic. You will be prompted to enter your database password when you execute it:
+   ```ipynb
+   %connect local
+   ```
 4. Use additional cells to type and run SQL statements.
 
 :::
 
-1. Use your favorite SQL IDE editor to create 2 databases: `jaffle_shop` and `stripe`:
-
-    ```sql
-    CREATE DATABASE jaffle_shop AS PERM = 1e9;
-    CREATE DATABASE stripe AS PERM = 1e9;
-    ```
-
-2. In the databases `jaffle_shop` and `stripe`, create 3 foreign tables and reference the respective csv files located in object storage:
+1. Use your preferred SQL IDE editor to create two databases: `jaffle_shop` and `stripe`:
 
    ```sql
-   CREATE FOREIGN TABLE jaffle_shop.customers (
-        id integer,
-        first_name varchar (100),
-        last_name varchar (100)
-    )
-    USING (
-        LOCATION ('/s3/dbt-tutorial-public.s3.amazonaws.com/jaffle_shop_customers.csv')
-    )
-    NO PRIMARY INDEX;
-
-    CREATE FOREIGN TABLE jaffle_shop.orders (
-        id integer,
-        user_id integer,
-        order_date date,
-        status varchar(100)
-    )
-    USING (
-        LOCATION ('/s3/dbt-tutorial-public.s3.amazonaws.com/jaffle_shop_orders.csv')
-    )
-    NO PRIMARY INDEX;
-
-    CREATE FOREIGN TABLE stripe.payment (
-        id integer,
-        orderid integer,
-        paymentmethod varchar (100),
-        status varchar (100),
-        amount integer,
-        created date
-    )
-    USING (
-        LOCATION ('/s3/dbt-tutorial-public.s3.amazonaws.com/stripe_payments.csv')
-    )
-    NO PRIMARY INDEX;    
+   CREATE DATABASE jaffle_shop AS PERM = 1e9;
+   CREATE DATABASE stripe AS PERM = 1e9;
    ```
 
-## Connect dbt cloud to Teradata
-
-1. Create a new project in dbt Cloud. From Account settings (using the gear menu in the top right corner), click + New Project.
-   
-2. Enter a project name and click Continue.
+2. In the databases `jaffle_shop` and `stripe`, create three foreign tables and reference the respective csv files located in object storage:
+
+  ```sql
+  CREATE FOREIGN TABLE jaffle_shop.customers (
+      id integer,
+      first_name varchar (100),
+      last_name varchar (100)
+   )
+   USING (
+      LOCATION ('/s3/dbt-tutorial-public.s3.amazonaws.com/jaffle_shop_customers.csv')
+   )
+   NO PRIMARY INDEX;
+
+   CREATE FOREIGN TABLE jaffle_shop.orders (
+      id integer,
+      user_id integer,
+      order_date date,
+      status varchar(100)
+   )
+   USING (
+      LOCATION ('/s3/dbt-tutorial-public.s3.amazonaws.com/jaffle_shop_orders.csv')
+   )
+   NO PRIMARY INDEX;
+
+   CREATE FOREIGN TABLE stripe.payment (
+      id integer,
+      orderid integer,
+      paymentmethod varchar (100),
+      status varchar (100),
+      amount integer,
+      created date
+   )
+   USING (
+      LOCATION ('/s3/dbt-tutorial-public.s3.amazonaws.com/stripe_payments.csv')
+   )
+   NO PRIMARY INDEX;   
+  ```
 
-3. In "Configure your development environment", click “Add new connection”
+## Connect dbt cloud to Teradata
 
-4. Select "Teradata", fill in all the required details in the "Settings" section and test the connection.
+1. Create a new project in dbt Cloud. From **Account settings** (using the gear menu in the top right corner), click **New Project**. 
+2. Enter a project name and click **Continue**.
+3. In **Configure your development environment**, click **Add new connection**.
+4. Select **Teradata**, fill in all the required details in the **Settings** section, and test the connection.
 
-   <Lightbox src="/img/teradata/dbt_cloud_teradata_setup_connection_start.png" title="dbt Cloud - Choose Teradata Connection" />
-    
-   <Lightbox src="/img/teradata/dbt_cloud_teradata_account_settings.png" title="dbt Cloud - Teradata Account Settings" />
+  <Lightbox src="/img/teradata/dbt_cloud_teradata_setup_connection_start.png" title="dbt Cloud - Choose Teradata Connection" />
+  
+  <Lightbox src="/img/teradata/dbt_cloud_teradata_account_settings.png" title="dbt Cloud - Teradata Account Settings" />
 
-5. Enter your **Development Credentials** for Teradata with: 
-    * **Username** &mdash; The username of Teradata database.
-    * **Password** &mdash; The password of Teradata database.
-    * **Schema** &mdash; The default database to use
-    
-    <Lightbox src="/img/teradata/dbt_cloud_teradata_development_credentials.png" title="dbt Cloud - Teradata Development Credentials" />
+5. Enter your **Development Credentials** for Teradata with:
+   * **Username** &mdash; The username of Teradata database.
+   * **Password** &mdash; The password of Teradata database.
+   * **Schema** &mdash; The default database to use
+  
+   <Lightbox src="/img/teradata/dbt_cloud_teradata_development_credentials.png" title="dbt Cloud - Teradata Development Credentials" />
 
-6. Click Test Connection. This verifies that dbt Cloud can access your Teradata Vantage instance.
-7. If the connection test succeeds, click Next. If it fails, you may need to check your Teradata settings and credentials.
+6. Click **Test Connection** to verify that dbt Cloud can access your Teradata Vantage instance.
+7. If the connection test succeeds, click **Next**. If it fails, check your Teradata settings and credentials.
 
-## Set up a dbt Cloud managed repository 
+## Set up a dbt Cloud managed repository
 
 <Snippet path="tutorial-managed-repo" />
 
 ## Initialize your dbt project​ and start developing
+
 Now that you have a repository configured, you can initialize your project and start development in dbt Cloud:
 
 1. Click **Start developing in the IDE**. It might take a few minutes for your project to spin up for the first time as it establishes your git connection, clones your repo, and tests the connection to the warehouse.
-2. Above the file tree to the left, click **Initialize your project**. This builds out your folder structure with example models.
-3. Make your initial commit by clicking **Commit and sync**. Use the commit message `initial commit`. This creates the first commit to your managed repo and allows you to open a branch where you can add new dbt code.
+2. Above the file tree to the left, click **Initialize your project** to build out your folder structure with example models.
+3. Make your initial commit by clicking **Commit and sync**. Use the commit message `initial commit` to create the first commit to your managed repo. Once you’ve created the commit, you can open a branch to add new dbt code.
 4. You can now directly query data from your warehouse and execute `dbt run`. You can try this out now:
-    - Click **+ Create new file**, add this query to the new file, and click **Save as** to save the new file: 
-        ```sql
-        select * from jaffle_shop.customers
-        ```
-    - In the command line bar at the bottom, enter `dbt run` and click **Enter**. You should see a `dbt run succeeded` message.
+   - Click **Create new file**, add this query to the new file, and click **Save as** to save the new file:
+       ```sql
+       select * from jaffle_shop.customers
+       ```
+   - In the command line bar at the bottom, enter `dbt run` and click **Enter**. You should see a `dbt run succeeded` message.
 
 ## Build your first model
 
 You have two options for working with files in the dbt Cloud IDE:
 
 - Create a new branch (recommended) &mdash; Create a new branch to edit and commit your changes. Navigate to **Version Control** on the left sidebar and click **Create branch**.
-- Edit in the protected primary branch &mdash; If you prefer to edit, format, or lint files and execute dbt commands directly in your primary git branch. The dbt Cloud IDE prevents commits to the protected branch, so you will be prompted to commit your changes to a new branch.
+- Edit in the protected primary branch &mdash; If you prefer to edit, format, lint files, or execute dbt commands directly in your primary git branch. The dbt Cloud IDE prevents commits to the protected branch, so you will receive a prompt to commit your changes to a new branch.
 
 Name the new branch `add-customers-model`.
 
-1. Click the **...** next to the `models` directory, then select **Create file**.  
+1. Click the **...** next to the `models` directory, then select **Create file**. 
 2. Name the file `customers.sql`, then click **Create**.
 3. Copy the following query into the file and click **Save**.
 
 ```sql
+
 with customers as (
 
-    select
-        id as customer_id,
-        first_name,
-        last_name
+   select
+       id as customer_id,
+       first_name,
+       last_name
 
-    from jaffle_shop.customers
+   from jaffle_shop.customers
 
 ),
 
 orders as (
 
-    select
-        id as order_id,
-        user_id as customer_id,
-        order_date,
-        status
+   select
+       id as order_id,
+       user_id as customer_id,
+       order_date,
+       status
 
-    from jaffle_shop.orders
+   from jaffle_shop.orders
 
 ),
 
 customer_orders as (
 
-    select
-        customer_id,
+   select
+       customer_id,
 
-        min(order_date) as first_order_date,
-        max(order_date) as most_recent_order_date,
-        count(order_id) as number_of_orders
+       min(order_date) as first_order_date,
+       max(order_date) as most_recent_order_date,
+       count(order_id) as number_of_orders
 
-    from orders
+   from orders
 
-    group by 1
+   group by 1
 
 ),
 
 final as (
 
-    select
-        customers.customer_id,
-        customers.first_name,
-        customers.last_name,
-        customer_orders.first_order_date,
-        customer_orders.most_recent_order_date,
-        coalesce(customer_orders.number_of_orders, 0) as number_of_orders
+   select
+       customers.customer_id,
+       customers.first_name,
+       customers.last_name,
+       customer_orders.first_order_date,
+       customer_orders.most_recent_order_date,
+       coalesce(customer_orders.number_of_orders, 0) as number_of_orders
 
-    from customers
+   from customers
 
-    left join customer_orders using (customer_id)
+   left join customer_orders using (customer_id)
 
 )
 
 select * from final
+
 ```
 
 4. Enter `dbt run` in the command prompt at the bottom of the screen. You should get a successful run and see the three models.
 
-Later, you can connect your business intelligence (BI) tools to these views and tables so they only read cleaned up data rather than raw data in your BI tool.
+You can connect your business intelligence (BI) tools to these views and tables so they only read cleaned-up data rather than raw data in your BI tool.
 
 ## Change the way your model is materialized
 
@@ -232,93 +232,93 @@ Later, you can connect your business intelligence (BI) tools to these views and
 
 <Snippet path="quickstarts/intro-build-models-atop-other-models" />
 
-1. Create a new SQL file, `models/stg_customers.sql`, with the SQL from the `customers` CTE in our original query.
-2. Create a second new SQL file, `models/stg_orders.sql`, with the SQL from the `orders` CTE in our original query.
+1. Create a new SQL file, `models/stg_customers.sql`, with the SQL from the `customers` CTE in your original query.
+2. Create a second new SQL file, `models/stg_orders.sql`, with the SQL from the `orders` CTE in your original query.
 
-    <File name='models/stg_customers.sql'>
+   <File name='models/stg_customers.sql'>
 
-    ```sql
-    select
-        id as customer_id,
-        first_name,
-        last_name
+   ```sql
+   select
+      id as customer_id,
+      first_name,
+      last_name
 
-    from jaffle_shop.customers
-    ```
+   from jaffle_shop.customers
+   ```
 
-    </File>
+   </File>
 
-    <File name='models/stg_orders.sql'>
+   <File name='models/stg_orders.sql'>
 
-    ```sql
-    select
-        id as order_id,
-        user_id as customer_id,
-        order_date,
-        status
+   ```sql
+   select
+      id as order_id,
+      user_id as customer_id,
+      order_date,
+      status
 
-    from jaffle_shop.orders
-    ```
+   from jaffle_shop.orders
+   ```
 
-    </File>
+   </File>
 
 3. Edit the SQL in your `models/customers.sql` file as follows:
 
-    <File name='models/customers.sql'>
+   <File name='models/customers.sql'>
 
-    ```sql
-    with customers as (
-
-        select * from {{ ref('stg_customers') }}
+   ```sql
+   with customers as (
 
-    ),
+      select * from {{ ref('stg_customers') }}
+   
+   ),
 
-    orders as (
+   orders as (
 
-        select * from {{ ref('stg_orders') }}
+      select * from {{ ref('stg_orders') }}
 
-    ),
+   ),
 
-    customer_orders as (
+   customer_orders as (
 
-        select
-            customer_id,
+      select
+          customer_id,
 
-            min(order_date) as first_order_date,
-            max(order_date) as most_recent_order_date,
-            count(order_id) as number_of_orders
+          min(order_date) as first_order_date,
+          max(order_date) as most_recent_order_date,
+          count(order_id) as number_of_orders
 
-        from orders
+      from orders
 
-        group by 1
+      group by 1
 
-    ),
+   ),
 
-    final as (
+   final as (
 
-        select
-            customers.customer_id,
-            customers.first_name,
-            customers.last_name,
-            customer_orders.first_order_date,
-            customer_orders.most_recent_order_date,
-            coalesce(customer_orders.number_of_orders, 0) as number_of_orders
+      select
+          customers.customer_id,
+          customers.first_name,
+          customers.last_name,
+          customer_orders.first_order_date,
+          customer_orders.most_recent_order_date,
+          coalesce(customer_orders.number_of_orders, 0) as number_of_orders
 
-        from customers
+      from customers
 
-        left join customer_orders using (customer_id)
+      left join customer_orders using (customer_id)
 
-    )
+   )
 
-    select * from final
-    
-    ```
+   select * from final
+  
+   ```
 
-    </File>
+   </File>
 
 4. Execute `dbt run`.
 
-    This time, when you performed a `dbt run`, separate views/tables were created for `stg_customers`, `stg_orders` and `customers`. dbt inferred the order to run these models. Because `customers` depends on `stg_customers` and `stg_orders`, dbt builds `customers` last. You do not need to explicitly define these dependencies.
+   This time, when you performed a `dbt run`, it created separate views/tables for `stg_customers`, `stg_orders`, and `customers`. dbt inferred the order in which these models should run. Because `customers` depends on `stg_customers` and `stg_orders`, dbt builds `customers` last. You don’t need to define these dependencies explicitly.
 
 #### FAQs {#faq-2}
 
@@ -329,68 +329,69 @@ Later, you can connect your business intelligence (BI) tools to these views and
 ## Build models on top of sources
 
 Sources make it possible to name and describe the data loaded into your warehouse by your extract and load tools. By declaring these tables as sources in dbt, you can:
-- select from source tables in your models using the `{{ source() }}` function, helping define the lineage of your data
-- test your assumptions about your source data
-- calculate the freshness of your source data
+- Select from source tables in your models using the `{{ source() }}` function, helping define the lineage of your data
+- Test your assumptions about your source data
+- Calculate the freshness of your source data
 
-1. Create a new YML file `models/sources.yml`.
+1. Create a new YML file, `models/sources.yml`.
 2. Declare the sources by copying the following into the file and clicking **Save**.
 
-    <File name='models/sources.yml'>
-
-    ```yml
-    version: 2
-
-    sources:
-        - name: jaffle_shop
-          description: This is a replica of the Postgres database used by our app
-          database: raw
-          schema: jaffle_shop
-          tables:
-              - name: customers
-                description: One record per customer.
-              - name: orders
-                description: One record per order. Includes cancelled and deleted orders.
-    ```
+   <File name='models/sources.yml'>
+
+   ```yml
+   version: 2
+
+   sources:
+      - name: jaffle_shop
+        description: This is a replica of the Postgres database used by the app
+        database: raw
+        schema: jaffle_shop
+        tables:
+            - name: customers
+              description: One record per customer.
+            - name: orders
+              description: One record per order. Includes canceled and deleted orders.
+   ```
 
-    </File>
+   </File>
 
 3. Edit the `models/stg_customers.sql` file to select from the `customers` table in the `jaffle_shop` source.
 
-    <File name='models/stg_customers.sql'>
+   <File name='models/stg_customers.sql'>
 
-    ```sql
-    select
-        id as customer_id,
-        first_name,
-        last_name
+   ```sql
+   select
+      id as customer_id,
+      first_name,
+      last_name
 
-    from {{ source('jaffle_shop', 'customers') }}
-    ```
+   from {{ source('jaffle_shop', 'customers') }}
+   ```
 
-    </File>
+   </File>
 
 4. Edit the `models/stg_orders.sql` file to select from the `orders` table in the `jaffle_shop` source.
 
-    <File name='models/stg_orders.sql'>
+   <File name='models/stg_orders.sql'>
 
-    ```sql
-    select
-        id as order_id,
-        user_id as customer_id,
-        order_date,
-        status
+   ```sql
+   select
+      id as order_id,
+      user_id as customer_id,
+      order_date,
+      status
+
+   from {{ source('jaffle_shop', 'orders') }}
+   ```
 
-    from {{ source('jaffle_shop', 'orders') }}
-    ```
+   </File>
 
-    </File>
+5. Execute `dbt run`.
 
-5. Execute `dbt run`. 
+   Your `dbt run` results will be the same as those in the previous step. Your `stg_customers` and `stg_orders`
+   models will still query from the same raw data source in Teradata. By using `source`, you can
+   test and document your raw data and also understand the lineage of your sources.
 
-    The results of your `dbt run` will be exactly the same as the previous step. Your `stg_customers` and `stg_orders`
-    models will still query from the same raw data source in Teradata. By using `source`, you can
-    test and document your raw data and also understand the lineage of your sources. 
 
 </div>
 

From bd73e21d9e8d7528a8e0ca88ee390d426526b37c Mon Sep 17 00:00:00 2001
From: Jeremy Cohen <jeremy@dbtlabs.com>
Date: Fri, 4 Oct 2024 18:15:04 -0400
Subject: [PATCH 191/200] Fix bad ref in microbatch docs (#6249)

Thanks to @matt-winkler for spotting this one (and props for carefully
reading the docs on an exciting new feature while it's in beta)
---
 website/docs/docs/build/incremental-microbatch.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/build/incremental-microbatch.md b/website/docs/docs/build/incremental-microbatch.md
index ae598bbe05f..b4b5406127e 100644
--- a/website/docs/docs/build/incremental-microbatch.md
+++ b/website/docs/docs/build/incremental-microbatch.md
@@ -28,7 +28,7 @@ A `sessions` model is aggregating and enriching data that comes from two other m
 - `page_views` is a large, time-series table. It contains many rows, new records almost always arrive after existing ones, and existing records rarely update.
 - `customers` is a relatively small dimensional table. Customer attributes update often, and not in a time-based manner — that is, older customers are just as likely to change column values as newer customers.
 
-The `page_view_start` column in `page_views` is configured as that model's `event_time`. The `customers` model does not configure an `event_time`. Therefore, each batch of `sessions` will filter `page_views` to the equivalent time-bounded batch, and it will not filter `sessions` (a full scan for every batch).
+The `page_view_start` column in `page_views` is configured as that model's `event_time`. The `customers` model does not configure an `event_time`. Therefore, each batch of `sessions` will filter `page_views` to the equivalent time-bounded batch, and it will not filter `customers` (a full scan for every batch).
 
 We run the `sessions` model on October 1, 2024, and then again on October 2. It produces the following queries:
 

From 8e6a7f9cbbfd8347f118c62d4b7b7aff5277f4d2 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Mon, 7 Oct 2024 11:29:28 +0100
Subject: [PATCH 192/200] update doc

---
 website/docs/docs/build/metricflow-commands.md       | 3 +++
 website/docs/docs/cloud/about-cloud-develop-defer.md | 3 +++
 2 files changed, 6 insertions(+)

diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md
index d9e01bede71..822934cef8f 100644
--- a/website/docs/docs/build/metricflow-commands.md
+++ b/website/docs/docs/build/metricflow-commands.md
@@ -27,6 +27,9 @@ dbt Cloud jobs support the `dbt sl validate` command to [automatically test your
 In dbt Cloud, run MetricFlow commands directly in the [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud) or in the [dbt Cloud CLI](/docs/cloud/cloud-cli-installation). 
 
 For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI and don't need to install MetricFlow separately. You don't need to manage versioning because your dbt Cloud account will automatically manage the versioning for you.
+
+<!--remove when fixed -->
+Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands). To use defer with Semantic Layer commands, manually add the `--defer` flag when running the command. This is a temporary limitation is and will be addressed soon.
 </TabItem>
 
 <TabItem value="core" label="MetricFlow with dbt Core">  
diff --git a/website/docs/docs/cloud/about-cloud-develop-defer.md b/website/docs/docs/cloud/about-cloud-develop-defer.md
index fc55edf8a38..d79aa47a7b8 100644
--- a/website/docs/docs/cloud/about-cloud-develop-defer.md
+++ b/website/docs/docs/cloud/about-cloud-develop-defer.md
@@ -40,6 +40,9 @@ To enable defer in the dbt Cloud IDE, toggle the **Defer to production** button
 
 For example, if you were to start developing on a new branch with [nothing in your development schema](/reference/node-selection/defer#usage), edit a single model, and run `dbt build -s state:modified` &mdash;  only the edited model would run. Any `{{ ref() }}` functions will point to the production location of the referenced models.
 
+<!--remove when fixed -->
+Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands). To use defer with Semantic Layer commands, manually add the `--defer` flag when running the command. This is a temporary limitation is and will be addressed soon.
+
 <Lightbox src="/img/docs/dbt-cloud/defer-toggle.jpg" width="100%" title="Select the 'Defer to production' toggle on the bottom right of the command bar to enable defer in the dbt Cloud IDE."/>
 
 ### Defer in dbt Cloud CLI

From 1f4431245e3594f8536124c9f27bfac650cf865d Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Mon, 7 Oct 2024 11:29:59 +0100
Subject: [PATCH 193/200] add workaround

---
 website/docs/docs/build/metricflow-commands.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md
index 822934cef8f..913757b8641 100644
--- a/website/docs/docs/build/metricflow-commands.md
+++ b/website/docs/docs/build/metricflow-commands.md
@@ -29,7 +29,7 @@ In dbt Cloud, run MetricFlow commands directly in the [dbt Cloud IDE](/docs/clou
 For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI and don't need to install MetricFlow separately. You don't need to manage versioning because your dbt Cloud account will automatically manage the versioning for you.
 
 <!--remove when fixed -->
-Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands). To use defer with Semantic Layer commands, manually add the `--defer` flag when running the command. This is a temporary limitation is and will be addressed soon.
+Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands). To use defer with Semantic Layer commands, manually add the `--defer` flag when running the command. This is a temporary workaround is and will be addressed soon.
 </TabItem>
 
 <TabItem value="core" label="MetricFlow with dbt Core">  

From 712e116536470b1c491eb7db2422c6ae2d41ee83 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Mon, 7 Oct 2024 11:31:13 +0100
Subject: [PATCH 194/200] upate links

---
 website/docs/docs/build/metricflow-commands.md       | 2 +-
 website/docs/docs/cloud/about-cloud-develop-defer.md | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md
index 913757b8641..f565eeab423 100644
--- a/website/docs/docs/build/metricflow-commands.md
+++ b/website/docs/docs/build/metricflow-commands.md
@@ -29,7 +29,7 @@ In dbt Cloud, run MetricFlow commands directly in the [dbt Cloud IDE](/docs/clou
 For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI and don't need to install MetricFlow separately. You don't need to manage versioning because your dbt Cloud account will automatically manage the versioning for you.
 
 <!--remove when fixed -->
-Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands). To use defer with Semantic Layer commands, manually add the `--defer` flag when running the command. This is a temporary workaround is and will be addressed soon.
+Note: The [**Defer to staging/production** toggle](/docs/cloud/about-cloud-develop-defer) is currently not available when running Semantic Layer commands . To use defer with Semantic Layer commands, manually add the `--defer` flag when running the command. This is a temporary workaround is and will be addressed soon.
 </TabItem>
 
 <TabItem value="core" label="MetricFlow with dbt Core">  
diff --git a/website/docs/docs/cloud/about-cloud-develop-defer.md b/website/docs/docs/cloud/about-cloud-develop-defer.md
index d79aa47a7b8..c75f5906726 100644
--- a/website/docs/docs/cloud/about-cloud-develop-defer.md
+++ b/website/docs/docs/cloud/about-cloud-develop-defer.md
@@ -41,7 +41,7 @@ To enable defer in the dbt Cloud IDE, toggle the **Defer to production** button
 For example, if you were to start developing on a new branch with [nothing in your development schema](/reference/node-selection/defer#usage), edit a single model, and run `dbt build -s state:modified` &mdash;  only the edited model would run. Any `{{ ref() }}` functions will point to the production location of the referenced models.
 
 <!--remove when fixed -->
-Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands). To use defer with Semantic Layer commands, manually add the `--defer` flag when running the command. This is a temporary limitation is and will be addressed soon.
+Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands). To use defer with Semantic Layer commands, manually add the `--defer` flag when running the command. This is a temporary workaround is and will be addressed soon.
 
 <Lightbox src="/img/docs/dbt-cloud/defer-toggle.jpg" width="100%" title="Select the 'Defer to production' toggle on the bottom right of the command bar to enable defer in the dbt Cloud IDE."/>
 

From 15baae1f72ad5de56262f079a53d7bf881010446 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Mon, 7 Oct 2024 11:31:32 +0100
Subject: [PATCH 195/200] remove s

---
 website/docs/docs/build/metricflow-commands.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md
index f565eeab423..2feb7285714 100644
--- a/website/docs/docs/build/metricflow-commands.md
+++ b/website/docs/docs/build/metricflow-commands.md
@@ -29,7 +29,7 @@ In dbt Cloud, run MetricFlow commands directly in the [dbt Cloud IDE](/docs/clou
 For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI and don't need to install MetricFlow separately. You don't need to manage versioning because your dbt Cloud account will automatically manage the versioning for you.
 
 <!--remove when fixed -->
-Note: The [**Defer to staging/production** toggle](/docs/cloud/about-cloud-develop-defer) is currently not available when running Semantic Layer commands . To use defer with Semantic Layer commands, manually add the `--defer` flag when running the command. This is a temporary workaround is and will be addressed soon.
+Note: The [**Defer to staging/production** toggle](/docs/cloud/about-cloud-develop-defer) is currently not available when running Semantic Layer commands . To use defer with Semantic Layer commands, manually add the `--defer` flag when running the command. This is a temporary workaround and will be addressed soon.
 </TabItem>
 
 <TabItem value="core" label="MetricFlow with dbt Core">  

From d22273a52b20c0dae09383eecac3bdead53e6168 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Mon, 7 Oct 2024 11:40:06 +0100
Subject: [PATCH 196/200] typos

---
 website/docs/docs/build/metricflow-commands.md       | 2 +-
 website/docs/docs/cloud/about-cloud-develop-defer.md | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md
index 2feb7285714..fa19c0279fb 100644
--- a/website/docs/docs/build/metricflow-commands.md
+++ b/website/docs/docs/build/metricflow-commands.md
@@ -29,7 +29,7 @@ In dbt Cloud, run MetricFlow commands directly in the [dbt Cloud IDE](/docs/clou
 For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI and don't need to install MetricFlow separately. You don't need to manage versioning because your dbt Cloud account will automatically manage the versioning for you.
 
 <!--remove when fixed -->
-Note: The [**Defer to staging/production** toggle](/docs/cloud/about-cloud-develop-defer) is currently not available when running Semantic Layer commands . To use defer with Semantic Layer commands, manually add the `--defer` flag when running the command. This is a temporary workaround and will be addressed soon.
+Note: The [**Defer to staging/production** toggle](/docs/cloud/about-cloud-develop-defer) is currently not available when running Semantic Layer commands. To use defer for Semantic Layer commands, manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon.
 </TabItem>
 
 <TabItem value="core" label="MetricFlow with dbt Core">  
diff --git a/website/docs/docs/cloud/about-cloud-develop-defer.md b/website/docs/docs/cloud/about-cloud-develop-defer.md
index c75f5906726..b39b3e6aacd 100644
--- a/website/docs/docs/cloud/about-cloud-develop-defer.md
+++ b/website/docs/docs/cloud/about-cloud-develop-defer.md
@@ -41,7 +41,7 @@ To enable defer in the dbt Cloud IDE, toggle the **Defer to production** button
 For example, if you were to start developing on a new branch with [nothing in your development schema](/reference/node-selection/defer#usage), edit a single model, and run `dbt build -s state:modified` &mdash;  only the edited model would run. Any `{{ ref() }}` functions will point to the production location of the referenced models.
 
 <!--remove when fixed -->
-Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands). To use defer with Semantic Layer commands, manually add the `--defer` flag when running the command. This is a temporary workaround is and will be addressed soon.
+Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands). To use defer with Semantic Layer commands, manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon.
 
 <Lightbox src="/img/docs/dbt-cloud/defer-toggle.jpg" width="100%" title="Select the 'Defer to production' toggle on the bottom right of the command bar to enable defer in the dbt Cloud IDE."/>
 

From 4279628c836cadf0c698759fbd2abbe650348199 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Mon, 7 Oct 2024 11:43:34 +0100
Subject: [PATCH 197/200] update img

---
 .../img/docs/dbt-cloud/defer-toggle.jpg       | Bin 284575 -> 188461 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/website/static/img/docs/dbt-cloud/defer-toggle.jpg b/website/static/img/docs/dbt-cloud/defer-toggle.jpg
index fdeb27c4b710b133c16233669927682ef4840d6d..3c3abca0fc2123c9878a067f4bed9561f8d646cd 100644
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From 10e413ff64c3b090605894775615fe3e8b8b4419 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirnawong@gmail.com>
Date: Mon, 7 Oct 2024 11:49:02 +0100
Subject: [PATCH 198/200] clarify

---
 website/docs/docs/build/metricflow-commands.md       | 2 +-
 website/docs/docs/cloud/about-cloud-develop-defer.md | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md
index fa19c0279fb..d739f370349 100644
--- a/website/docs/docs/build/metricflow-commands.md
+++ b/website/docs/docs/build/metricflow-commands.md
@@ -29,7 +29,7 @@ In dbt Cloud, run MetricFlow commands directly in the [dbt Cloud IDE](/docs/clou
 For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI and don't need to install MetricFlow separately. You don't need to manage versioning because your dbt Cloud account will automatically manage the versioning for you.
 
 <!--remove when fixed -->
-Note: The [**Defer to staging/production** toggle](/docs/cloud/about-cloud-develop-defer) is currently not available when running Semantic Layer commands. To use defer for Semantic Layer commands, manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon.
+Note: The **Defer to staging/production** [toggle](/docs/cloud/about-cloud-develop-defer#defer-in-the-dbt-cloud-ide) is currently not available when running Semantic Layer commands in the dbt Cloud IDE.  To use defer for Semantic layer commands in the IDE, manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon.
 </TabItem>
 
 <TabItem value="core" label="MetricFlow with dbt Core">  
diff --git a/website/docs/docs/cloud/about-cloud-develop-defer.md b/website/docs/docs/cloud/about-cloud-develop-defer.md
index b39b3e6aacd..f23208f7b32 100644
--- a/website/docs/docs/cloud/about-cloud-develop-defer.md
+++ b/website/docs/docs/cloud/about-cloud-develop-defer.md
@@ -41,7 +41,7 @@ To enable defer in the dbt Cloud IDE, toggle the **Defer to production** button
 For example, if you were to start developing on a new branch with [nothing in your development schema](/reference/node-selection/defer#usage), edit a single model, and run `dbt build -s state:modified` &mdash;  only the edited model would run. Any `{{ ref() }}` functions will point to the production location of the referenced models.
 
 <!--remove when fixed -->
-Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands). To use defer with Semantic Layer commands, manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon.
+Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands) in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon.
 
 <Lightbox src="/img/docs/dbt-cloud/defer-toggle.jpg" width="100%" title="Select the 'Defer to production' toggle on the bottom right of the command bar to enable defer in the dbt Cloud IDE."/>
 

From 86435098b5d52b1cecc92b193ed154daa7be5423 Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Mon, 7 Oct 2024 16:10:11 +0100
Subject: [PATCH 199/200] SL updates for coalesce (#6253)

this pr updates some SL docs and removes the 'preview' flag for two
features:

- custom calendar
- python sdk
---
 website/docs/docs/build/metricflow-time-spine.md    | 2 +-
 website/docs/docs/dbt-cloud-apis/sl-api-overview.md | 2 +-
 website/docs/docs/dbt-cloud-apis/sl-python-sdk.md   | 1 -
 3 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md
index 2965b623f13..890e41b4482 100644
--- a/website/docs/docs/build/metricflow-time-spine.md
+++ b/website/docs/docs/build/metricflow-time-spine.md
@@ -298,7 +298,7 @@ and date_hour < dateadd(day, 30, current_timestamp())
 </File>
 
 
-## Custom calendar <Lifecycle status="Preview"/>
+## Custom calendar
 
 <VersionBlock lastVersion="1.8">
 
diff --git a/website/docs/docs/dbt-cloud-apis/sl-api-overview.md b/website/docs/docs/dbt-cloud-apis/sl-api-overview.md
index 1c4d5f387e9..f72fa5b318c 100644
--- a/website/docs/docs/dbt-cloud-apis/sl-api-overview.md
+++ b/website/docs/docs/dbt-cloud-apis/sl-api-overview.md
@@ -43,7 +43,7 @@ plan="dbt Cloud Team or Enterprise"
     icon="dbt-bit"/>
 
 <Card
-    title="Python SDK (Preview)"
+    title="Python SDK"
     body="Use the Python SDK to interact with the dbt Semantic Layer using Python."
     link="/docs/dbt-cloud-apis/sl-python"
     icon="dbt-bit"/>
diff --git a/website/docs/docs/dbt-cloud-apis/sl-python-sdk.md b/website/docs/docs/dbt-cloud-apis/sl-python-sdk.md
index 901b6bf179a..e34a44a5a57 100644
--- a/website/docs/docs/dbt-cloud-apis/sl-python-sdk.md
+++ b/website/docs/docs/dbt-cloud-apis/sl-python-sdk.md
@@ -7,7 +7,6 @@ keywords: [dbt Cloud, API, dbt Semantic Layer, python, sdk]
 sidebar_label: "Python SDK"
 ---
 
-# Python SDK <Lifecycle status="Preview"/>
 The [`dbt-sl-sdk` Python software development kit](https://github.com/dbt-labs/semantic-layer-sdk-python) (SDK) is a Python library that provides you with easy access to the dbt Semantic Layer with Python. It allows developers to interact with the dbt Semantic Layer APIs and query metrics and dimensions in downstream tools. 
 
 ## Installation

From 0fd277ae8289b52c26081b9356c53df9bb44157d Mon Sep 17 00:00:00 2001
From: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Date: Mon, 7 Oct 2024 16:20:30 +0100
Subject: [PATCH 200/200] Update metricflow-time-spine.md

changing back to preview
---
 website/docs/docs/build/metricflow-time-spine.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/build/metricflow-time-spine.md b/website/docs/docs/build/metricflow-time-spine.md
index 890e41b4482..2965b623f13 100644
--- a/website/docs/docs/build/metricflow-time-spine.md
+++ b/website/docs/docs/build/metricflow-time-spine.md
@@ -298,7 +298,7 @@ and date_hour < dateadd(day, 30, current_timestamp())
 </File>
 
 
-## Custom calendar
+## Custom calendar <Lifecycle status="Preview"/>
 
 <VersionBlock lastVersion="1.8">