Merge branch 'current' into databricks-updates

website/docs/docs/cloud/configure-cloud-cli.md

@@ -52,21 +52,29 @@ Once you install the dbt Cloud CLI, you need to configure it to connect to a dbt
 
   The config file looks like this:
 
-    ```yaml
-    version: "1"
-    context:
-        active-project: "<project id from the list below>"
-        active-host: "<active host from the list>"
-        defer-env-id: "<optional defer environment id>"
-    projects:
-    - project-id: "<project-id>"
-        account-host: "<account-host>"
-        api-key: "<user-api-key>"
-
-    - project-id: "<project-id>"
-        account-host: "<account-host>"
-        api-key: "<user-api-key>"
-    ```
+  ```yaml
+  version: "1"
+  context:
+    active-project: "<project id from the list below>"
+    active-host: "<active host from the list>"
+    defer-env-id: "<optional defer environment id>"
+  projects:
+    - project-name: "<project-name>"
+      project-id: "<project-id>"
+      account-name: "<account-name>"
+      account-id: "<account-id>"
+      account-host: "<account-host>" # for example, "cloud.getdbt.com"
+      token-name: "<pat-or-service-token-name>"
+      token-value: "<pat-or-service-token-value>"
+
+    - project-name: "<project-name>"
+      project-id: "<project-id>"
+      account-name: "<account-name>"
+      account-id: "<account-id>"
+      account-host: "<account-host>" # for example, "cloud.getdbt.com"
+      token-name: "<pat-or-service-token-name>"
+      token-value: "<pat-or-service-token-value>"  
+  ```
 
 3. After downloading the config file and creating your directory, navigate to a dbt project in your terminal:
 
@@ -195,4 +203,4 @@ This command moves the `dbt_cloud.yml` from the `Downloads` folder to the `.dbt`
 By default, [all artifacts](/reference/artifacts/dbt-artifacts) are downloaded when you execute dbt commands from the dbt Cloud CLI. To skip these files from being downloaded, add `--download-artifacts=false` to the command you want to run. This can help improve run-time performance but might break workflows that depend on assets like the [manifest](/reference/artifacts/manifest-json). 
 
 
-</Expandable>
+</Expandable>

website/docs/reference/global-configs/resource-type.md

@@ -60,7 +60,7 @@ The available resource types are:
 
 ## Example
 
-Instead of targeting specific resources, use the `--resource-flag` or `--exclude-resource-type` flags to target all resources of a certain type: `dbt build --resource-type RESOURCE_TYPE` replacing `RESOURCE_TYPE` with the resource type you want to exclude.
+Instead of targeting specific resources, use the `--resource-flag` or `--exclude-resource-type` flags to target all resources of a certain type: `dbt build --resource-type RESOURCE_TYPE` replacing `RESOURCE_TYPE` with the resource type you want to include.
 
 - For example, use the following command to include _all_ snapshots from your dbt build process:
 

website/docs/reference/resource-configs/grants.md

@@ -249,13 +249,14 @@ models:
 
 <div warehouse="Redshift">
 
-* Granting to / revoking from is only fully supported for Redshift users (not groups or roles).
+* Granting to / revoking from is only fully supported for Redshift users (not [groups](https://docs.aws.amazon.com/redshift/latest/dg/r_Groups.html) or [roles](https://docs.aws.amazon.com/redshift/latest/dg/r_roles-managing.html)).
 
 </div>
 
 <div warehouse="Snowflake">
 
 * dbt accounts for the [`copy_grants` configuration](/reference/resource-configs/snowflake-configs#copying-grants) when calculating which grants need to be added or removed.
+* Granting to / revoking from is only fully supported for Snowflake roles (not [database roles](https://docs.snowflake.com/user-guide/security-access-control-overview#types-of-roles)).
 
 </div>
 

website/docs/reference/resource-configs/schema.md

@@ -76,6 +76,15 @@ This results in the generated relation being located in the `snapshots` schema s
 
 </TabItem>
 
+<TabItem value="saved-queries" label="Saved queries">
+
+<File name='dbt_project.yml'>
+```yml
+saved-queries:
+  +schema: metrics
+```
+</File>
+</TabItem>
 <TabItem value="tests" label="Test">
 
 Customize the schema for storing test results in your `dbt_project.yml` file. 

website/docs/terms/data-catalog.md

@@ -74,8 +74,9 @@ Does the data team fully understand the data and its lineage? If they don’t, i
 Do you have sophisticated data models and sources that the business knows how to use? If not, it may be worth focusing on building out the right metrics and models to be used first.
 
 Is the culture data-driven? If business users are caught up in their own processes like Google spreadsheets, they may not even utilize a catalog. You don’t want to pay for a tool that is too sophisticated for where the business and data teams currently stand. Don’t rush the process. 
+
 ### Data catalog tools
-Data teams may choose to use third-party tools with data cataloging capabilities such as [Atlan](https://ask.atlan.com/hc/en-us/articles/4433673207313-How-to-set-up-dbt-Cloud), Alation, [Collibra](https://marketplace.collibra.com/listings/dbt-lineage-to-collibra-integration/), [Metaphor](https://support.metaphor.io/hc/en-us/articles/9302185081627), [Select Star](https://docs.selectstar.com/integrations/dbt/dbt-cloud), [Stemma](https://docs.stemma.ai/docs/stemma/getting-started/what-we-need-from-you/dbt-integration/), [Castor](https://docs.castordoc.com/integrations/dbt), and others. These tools often integrate directly with your data pipelines and dbt workflows and offer zoomed-in data cataloging and lineage capabilities.
+Data teams may choose to use third-party tools with data cataloging capabilities such as [Atlan](https://ask.atlan.com/hc/en-us/articles/4433673207313-How-to-set-up-dbt-Cloud), Alation, [Collibra](https://marketplace.collibra.com/listings/dbt-lineage-to-collibra-integration/), [Metaphor](https://support.metaphor.io/hc/en-us/articles/9302185081627), [Select Star](https://docs.selectstar.com/integrations/dbt/dbt-cloud), [Secoda](https://docs.secoda.co/integrations/data-transformation-tools/readme-1/dbt), [Castor](https://docs.castordoc.com/integrations/dbt), and others. These tools often integrate directly with your data pipelines and dbt workflows and offer zoomed-in data cataloging and lineage capabilities.
 
 ## Conclusion
 

website/docs/terms/data-lineage.md

@@ -79,7 +79,7 @@ DAGs shouldn’t be dependent on manual updates. Instead, your DAG should be aut
 
 ### Third-party tooling
 
-Data teams may also choose to use third-party tools with lineage capabilities such as [Atlan](https://ask.atlan.com/hc/en-us/articles/4433673207313-How-to-set-up-dbt-Cloud), Alation, [Collibra](https://marketplace.collibra.com/listings/dbt-lineage-to-collibra-integration/), [Datafold](https://www.datafold.com/column-level-lineage), Metaphor, [Monte Carlo](https://docs.getmontecarlo.com/docs/dbt-cloud), [Select Star](https://docs.selectstar.com/integrations/dbt/dbt-cloud), or [Stemma](https://docs.stemma.ai/docs/stemma/getting-started/what-we-need-from-you/dbt-integration/). These tools often integrate directly with your data pipelines and dbt workflows and offer zoomed-in data lineage capabilities such as column-level or business logic-level lineage.
+Data teams may also choose to use third-party tools with lineage capabilities such as [Atlan](https://ask.atlan.com/hc/en-us/articles/4433673207313-How-to-set-up-dbt-Cloud), Alation, [Collibra](https://marketplace.collibra.com/listings/dbt-lineage-to-collibra-integration/), [Datafold](https://www.datafold.com/column-level-lineage), Metaphor, [Monte Carlo](https://docs.getmontecarlo.com/docs/dbt-cloud) or [Select Star](https://docs.selectstar.com/integrations/dbt/dbt-cloud). These tools often integrate directly with your data pipelines and dbt workflows and offer zoomed-in data lineage capabilities such as column-level or business logic-level lineage.
 
 ## Data lineage challenges
 

website/docs/terms/json.md

@@ -40,7 +40,7 @@ Individual values from an array can be called by referencing the location of a v
 
 Dictionaries and arrays can be nested in JSON objects as well as nested in each other. **Dictionaries and arrays can only be values. They can never be keys.**
 
-Here’s an example of a JSON object describing a tweet from [Twitter’s developer platform](https://developer.twitter.com/en/docs/twitter-api/v1/data-dictionary/overview).
+Here’s an example of a JSON object describing a tweet from [X's (formerly Twitter) developer platform](https://developer.x.com/en/docs/twitter-api/v1/data-dictionary/overview).
 
 ```json
 tweet = 
@@ -100,4 +100,4 @@ JSON is lightweight and often used to transfer data over a network connection. A
 
 ## Conclusion
 
-The greatest strength of JSON also acts as its weakness—the data it contains informs the shape the object takes, rather than the other way around. Structured data is the bread and butter of analytics work, but a semi-structured format is an alternative option when a tabular format becomes too rigid to describe the relationships between different entities. 
+The greatest strength of JSON also acts as its weakness—the data it contains informs the shape the object takes, rather than the other way around. Structured data is the bread and butter of analytics work, but a semi-structured format is an alternative option when a tabular format becomes too rigid to describe the relationships between different entities.