diff --git a/contributing/content-style-guide.md b/contributing/content-style-guide.md
index 0d2bf243d45..e6fafec4593 100644
--- a/contributing/content-style-guide.md
+++ b/contributing/content-style-guide.md
@@ -284,7 +284,7 @@ If the list starts getting lengthy and dense, consider presenting the same conte
A bulleted list with introductory text:
-> A dbt project is a directory of `.sql` and .yml` files. The directory must contain at a minimum:
+> A dbt project is a directory of `.sql` and `.yml` files. The directory must contain at a minimum:
>
> - Models: A model is a single `.sql` file. Each model contains a single `select` statement that either transforms raw data into a dataset that is ready for analytics or, more often, is an intermediate step in such a transformation.
> - A project file: A `dbt_project.yml` file, which configures and defines your dbt project.
diff --git a/website/docs/docs/build/semantic-models.md b/website/docs/docs/build/semantic-models.md
index 09f808d7a17..5c6883cdcee 100644
--- a/website/docs/docs/build/semantic-models.md
+++ b/website/docs/docs/build/semantic-models.md
@@ -43,7 +43,7 @@ semantic_models:
- name: the_name_of_the_semantic_model ## Required
description: same as always ## Optional
model: ref('some_model') ## Required
- default: ## Required
+ defaults: ## Required
agg_time_dimension: dimension_name ## Required if the model contains dimensions
entities: ## Required
- see more information in entities
diff --git a/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md b/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md
index cc1c2531f56..7f32505d56e 100644
--- a/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md
+++ b/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md
@@ -11,8 +11,8 @@ dbt Cloud is [hosted](/docs/cloud/about-cloud/architecture) in multiple regions
| Region | Location | Access URL | IP addresses | Developer plan | Team plan | Enterprise plan |
|--------|----------|------------|--------------|----------------|-----------|-----------------|
-| North America multi-tenant [^1] | AWS us-east-1 (N. Virginia) | cloud.getdbt.com | 52.45.144.63 54.81.134.249 52.22.161.231 | ✅ | ✅ | ✅ |
-| North America Cell 1 [^1] | AWS us-east-1 (N.Virginia) | {account prefix}.us1.dbt.com | [Located in Account Settings](#locating-your-dbt-cloud-ip-addresses) | ❌ | ❌ | ✅ |
+| North America multi-tenant [^1] | AWS us-east-1 (N. Virginia) | cloud.getdbt.com | 52.45.144.63 54.81.134.249 52.22.161.231 52.3.77.232 3.214.191.130 34.233.79.135 | ✅ | ✅ | ✅ |
+| North America Cell 1 [^1] | AWS us-east-1 (N. Virginia) | {account prefix}.us1.dbt.com | 52.45.144.63 54.81.134.249 52.22.161.231 52.3.77.232 3.214.191.130 34.233.79.135 | ❌ | ❌ | ✅ |
| EMEA [^1] | AWS eu-central-1 (Frankfurt) | emea.dbt.com | 3.123.45.39 3.126.140.248 3.72.153.148 | ❌ | ❌ | ✅ |
| APAC [^1] | AWS ap-southeast-2 (Sydney)| au.dbt.com | 52.65.89.235 3.106.40.33 13.239.155.206 | ❌ | ❌ | ✅ |
| Virtual Private dbt or Single tenant | Customized | Customized | Ask [Support](/community/resources/getting-help#dbt-cloud-support) for your IPs | ❌ | ❌ | ✅ |
diff --git a/website/docs/docs/cloud/secure/about-privatelink.md b/website/docs/docs/cloud/secure/about-privatelink.md
index b31e4c08a26..2134ab25cfe 100644
--- a/website/docs/docs/cloud/secure/about-privatelink.md
+++ b/website/docs/docs/cloud/secure/about-privatelink.md
@@ -23,3 +23,4 @@ dbt Cloud supports the following data platforms for use with the PrivateLink fea
- [Databricks](/docs/cloud/secure/databricks-privatelink)
- [Redshift](/docs/cloud/secure/redshift-privatelink)
- [Postgres](/docs/cloud/secure/postgres-privatelink)
+- [VCS](/docs/cloud/secure/vcs-privatelink)
diff --git a/website/docs/docs/collaborate/explore-projects.md b/website/docs/docs/collaborate/explore-projects.md
index 05326016fab..78fe6f45cc7 100644
--- a/website/docs/docs/collaborate/explore-projects.md
+++ b/website/docs/docs/collaborate/explore-projects.md
@@ -2,7 +2,7 @@
title: "Explore your dbt projects"
sidebar_label: "Explore dbt projects"
description: "Learn about dbt Explorer and how to interact with it to understand, improve, and leverage your data pipelines."
-pagination_next: "docs/collaborate/explore-multiple-projects"
+pagination_next: "docs/collaborate/model-performance"
pagination_prev: null
---
@@ -36,7 +36,7 @@ For a richer experience with dbt Explorer, you must:
- Run [dbt source freshness](/reference/commands/source#dbt-source-freshness) within a job in the environment to view source freshness data.
- Run [dbt snapshot](/reference/commands/snapshot) or [dbt build](/reference/commands/build) within a job in the environment to view snapshot details.
-Richer and more timely metadata will become available as dbt, the Discovery API, and the underlying dbt Cloud platform evolves.
+Richer and more timely metadata will become available as dbt Core, the Discovery API, and the underlying dbt Cloud platform evolves.
## Explore your project's lineage graph {#project-lineage}
@@ -46,6 +46,8 @@ If you don't see the project lineage graph immediately, click **Render Lineage**
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.
+By default, dbt Explorer shows the project's [applied state](/docs/dbt-cloud-apis/project-state#definition-logical-vs-applied-state-of-dbt-nodes) lineage. That is, it shows models that have been successfully built and are available to query, not just the models defined in the project.
+
To explore the lineage graphs of tests and macros, view [their resource details pages](#view-resource-details). By default, dbt Explorer excludes these resources from the full lineage graph unless a search query returns them as results.
To interact with the full lineage graph, you can:
diff --git a/website/docs/docs/collaborate/model-performance.md b/website/docs/docs/collaborate/model-performance.md
new file mode 100644
index 00000000000..7ef675b4e1e
--- /dev/null
+++ b/website/docs/docs/collaborate/model-performance.md
@@ -0,0 +1,41 @@
+---
+title: "Model performance"
+sidebar_label: "Model performance"
+description: "Learn about ."
+---
+
+dbt Explorer provides metadata on dbt Cloud runs for in-depth model performance and quality analysis. This feature assists in reducing infrastructure costs and saving time for data teams by highlighting where to fine-tune projects and deployments — such as model refactoring or job configuration adjustments.
+
+
+
+:::tip Beta
+
+The model performance beta feature is now available in dbt Explorer! Check it out!
+:::
+
+## The Performance overview page
+
+You can pinpoint areas for performance enhancement by using the Performance overview page. This page presents a comprehensive analysis across all project models and displays the longest-running models, those most frequently executed, and the ones with the highest failure rates during runs/tests. Data can be segmented by environment and job type which can offer insights into:
+
+- Most executed models (total count).
+- Models with the longest execution time (average duration).
+- Models with the most failures, detailing run failures (percentage and count) and test failures (percentage and count).
+
+Each data point links to individual models in Explorer.
+
+
+
+You can view historical metadata for up to the past three months. Select the time horizon using the filter, which defaults to a two-week lookback.
+
+
+
+## The Model performance tab
+
+You can view trends in execution times, counts, and failures by using the Model performance tab for historical performance analysis. Daily execution data includes:
+
+- Average model execution time.
+- Model execution counts, including failures/errors (total sum).
+
+Clicking on a data point reveals a table listing all job runs for that day, with each row providing a direct link to the details of a specific run.
+
+
\ No newline at end of file
diff --git a/website/docs/docs/collaborate/project-recommendations.md b/website/docs/docs/collaborate/project-recommendations.md
new file mode 100644
index 00000000000..e6263a875fc
--- /dev/null
+++ b/website/docs/docs/collaborate/project-recommendations.md
@@ -0,0 +1,50 @@
+---
+title: "Project recommendations"
+sidebar_label: "Project recommendations"
+description: "dbt Explorer provides recommendations that you can take to improve the quality of your dbt project."
+---
+
+:::tip Beta
+
+The project recommendations beta feature is now available in dbt Explorer! Check it out!
+
+:::
+
+dbt Explorer provides recommendations about your project from the `dbt_project_evaluator` [package](https://hub.getdbt.com/dbt-labs/dbt_project_evaluator/latest/) using metadata from the Discovery API.
+
+Explorer also offers a global view, showing all the recommendations across the project for easy sorting and summarizing.
+
+These recommendations provide insight into how you can build a more well documented, well tested, and well built project, leading to less confusion and more trust.
+
+The Recommendations overview page includes two top-level metrics measuring the test and documentation coverage of the models in your project.
+
+- **Model test coverage** — The percent of models in your project (models not from a package or imported via dbt Mesh) with at least one dbt test configured on them.
+- **Model documentation coverage** — The percent of models in your project (models not from a package or imported via dbt Mesh) with a description.
+
+
+
+## List of rules
+
+| Category | Name | Description | Package Docs Link |
+| --- | --- | --- | --- |
+| Modeling | Direct Join to Source | Model that joins both a model and source, indicating a missing staging model | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#direct-join-to-source) |
+| Modeling | Duplicate Sources | More than one source node corresponds to the same data warehouse relation | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#duplicate-sources) |
+| Modeling | Multiple Sources Joined | Models with more than one source parent, indicating lack of staging models | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#multiple-sources-joined) |
+| Modeling | Root Model | Models with no parents, indicating potential hardcoded references and need for sources | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#root-models) |
+| Modeling | Source Fanout | Sources with more than one model child, indicating a need for staging models | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#source-fanout) |
+| Modeling | Unused Source | Sources that are not referenced by any resource | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#unused-sources) |
+| Performance | Exposure Dependent on View | Exposures with at least one model parent materialized as a view, indicating potential query performance issues | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/performance/#exposure-parents-materializations) |
+| Testing | Missing Primary Key Test | Models with insufficient testing on the grain of the model. | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/testing/#missing-primary-key-tests) |
+| Documentation | Undocumented Models | Models without a model-level description | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/documentation/#undocumented-models) |
+| Documentation | Undocumented Source | Sources (collections of source tables) without descriptions | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/documentation/#undocumented-sources) |
+| Documentation | Undocumented Source Tables | Source tables without descriptions | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/documentation/#undocumented-source-tables) |
+| Governance | Public Model Missing Contract | Models with public access that do not have a model contract to ensure the data types | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/governance/#public-models-without-contracts) |
+
+
+## The Recommendations tab
+
+Models, sources and exposures each also have a Recommendations tab on their resource details page, with the specific recommendations that correspond to that resource:
+
+
+
+
diff --git a/website/docs/docs/dbt-versions/core-upgrade/01-upgrading-to-v1.6.md b/website/docs/docs/dbt-versions/core-upgrade/01-upgrading-to-v1.6.md
index 36146246d3a..33a038baa9b 100644
--- a/website/docs/docs/dbt-versions/core-upgrade/01-upgrading-to-v1.6.md
+++ b/website/docs/docs/dbt-versions/core-upgrade/01-upgrading-to-v1.6.md
@@ -17,7 +17,7 @@ dbt Core v1.6 has three significant areas of focus:
## Resources
- [Changelog](https://github.com/dbt-labs/dbt-core/blob/1.6.latest/CHANGELOG.md)
-- [CLI Installation guide](/docs/core/installation-overview
+- [dbt Core installation guide](/docs/core/installation-overview)
- [Cloud upgrade guide](/docs/dbt-versions/upgrade-core-in-cloud)
- [Release schedule](https://github.com/dbt-labs/dbt-core/issues/7481)
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diff --git a/website/docs/docs/dbt-versions/release-notes/33-January-2022/IDE-autocomplete-more.md b/website/docs/docs/dbt-versions/release-notes/97-January-2022/IDE-autocomplete-more.md
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diff --git a/website/docs/docs/dbt-versions/release-notes/34-dbt-cloud-changelog-2021.md b/website/docs/docs/dbt-versions/release-notes/98-dbt-cloud-changelog-2021.md
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diff --git a/website/docs/docs/dbt-versions/release-notes/35-dbt-cloud-changelog-2019-2020.md b/website/docs/docs/dbt-versions/release-notes/99-dbt-cloud-changelog-2019-2020.md
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diff --git a/website/docs/docs/deploy/retry-jobs.md b/website/docs/docs/deploy/retry-jobs.md
index ea616121f38..beefb35379e 100644
--- a/website/docs/docs/deploy/retry-jobs.md
+++ b/website/docs/docs/deploy/retry-jobs.md
@@ -26,7 +26,7 @@ If your dbt job run completed with a status of **Error**, you can rerun it from
## Related content
-- [Retry a failed run for a job](/dbt-cloud/api-v2#/operations/Retry%20a%20failed%20run%20for%20a%20job) API endpoint
+- [Retry a failed run for a job](/dbt-cloud/api-v2#/operations/Retry%20Failed%20Job) API endpoint
- [Run visibility](/docs/deploy/run-visibility)
- [Jobs](/docs/deploy/jobs)
-- [Job commands](/docs/deploy/job-commands)
\ No newline at end of file
+- [Job commands](/docs/deploy/job-commands)
diff --git a/website/docs/docs/use-dbt-semantic-layer/gsheets.md b/website/docs/docs/use-dbt-semantic-layer/gsheets.md
index 9d5a7c105ae..d7525fa7b26 100644
--- a/website/docs/docs/use-dbt-semantic-layer/gsheets.md
+++ b/website/docs/docs/use-dbt-semantic-layer/gsheets.md
@@ -17,6 +17,8 @@ The dbt Semantic Layer offers a seamless integration with Google Sheets through
- You have a Google account with access to Google Sheets.
- You can install Google add-ons.
- You have a dbt Cloud Environment ID and a [service token](/docs/dbt-cloud-apis/service-tokens) to authenticate with from a dbt Cloud account.
+- You must have a dbt Cloud Team or Enterprise [account](https://www.getdbt.com/pricing). Suitable for both Multi-tenant and Single-tenant deployment.
+ - Single-tenant accounts should contact their account representative for necessary setup and enablement.
## Installing the add-on
diff --git a/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md b/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md
index 13a119da9a7..62437f4ecd6 100644
--- a/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md
+++ b/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md
@@ -26,7 +26,7 @@ MetricFlow, a powerful component of the dbt Semantic Layer, simplifies the creat
Use this guide to fully experience the power of the universal dbt Semantic Layer. Here are the following steps you'll take:
- [Create a semantic model](#create-a-semantic-model) in dbt Cloud using MetricFlow
-- [Define metrics](#define-metrics) in dbt Cloud using MetricFlow
+- [Define metrics](#define-metrics) in dbt using MetricFlow
- [Test and query metrics](#test-and-query-metrics) with MetricFlow
- [Run a production job](#run-a-production-job) in dbt Cloud
- [Set up dbt Semantic Layer](#setup) in dbt Cloud
diff --git a/website/docs/docs/use-dbt-semantic-layer/tableau.md b/website/docs/docs/use-dbt-semantic-layer/tableau.md
index a5c1b6edd04..0f12a75f468 100644
--- a/website/docs/docs/use-dbt-semantic-layer/tableau.md
+++ b/website/docs/docs/use-dbt-semantic-layer/tableau.md
@@ -21,7 +21,8 @@ This integration provides a live connection to the dbt Semantic Layer through Ta
- Note that Tableau Online does not currently support custom connectors natively. If you use Tableau Online, you will only be able to access the connector in Tableau Desktop.
- Log in to Tableau Desktop (with Online or Server credentials) or a license to Tableau Server
- You need your dbt Cloud host, [Environment ID](/docs/use-dbt-semantic-layer/setup-sl#set-up-dbt-semantic-layer) and [service token](/docs/dbt-cloud-apis/service-tokens) to log in. This account should be set up with the dbt Semantic Layer.
-- You must have a dbt Cloud Team or Enterprise [account](https://www.getdbt.com/pricing) and multi-tenant [deployment](/docs/cloud/about-cloud/regions-ip-addresses). (Single-Tenant coming soon)
+- You must have a dbt Cloud Team or Enterprise [account](https://www.getdbt.com/pricing). Suitable for both Multi-tenant and Single-tenant deployment.
+ - Single-tenant accounts should contact their account representative for necessary setup and enablement.
## Installing the Connector
diff --git a/website/docs/faqs/Tests/testing-sources.md b/website/docs/faqs/Tests/testing-sources.md
index 8eb769026e5..5e68b88dcbf 100644
--- a/website/docs/faqs/Tests/testing-sources.md
+++ b/website/docs/faqs/Tests/testing-sources.md
@@ -9,7 +9,7 @@ id: testing-sources
To run tests on all sources, use the following command:
```shell
-$ dbt test --select source:*
+ dbt test --select "source:*"
```
(You can also use the `-s` shorthand here instead of `--select`)
diff --git a/website/docs/terms/data-wrangling.md b/website/docs/terms/data-wrangling.md
index 58034fe8e91..b164855ff9b 100644
--- a/website/docs/terms/data-wrangling.md
+++ b/website/docs/terms/data-wrangling.md
@@ -51,7 +51,7 @@ The cleaning stage involves using different functions so that the values in your
- Removing appropriate duplicates or nulls you found in the discovery process
- Eliminating unnecessary characters or spaces from values
-Certain cleaning steps, like removing rows with null values, are helpful to do at the beginning of the process because removing nulls and duplicates from the start can increase the performance of your downstream models. In the cleaning step, it’s important to follow a standard for your transformations here. This means you should be following a consistent naming convention for your columns (especially for your primary keys) and casting to the same timezone and datatypes throughout your models. Examples include making sure all dates are in UTC time rather than source timezone-specific, all string in either lower or upper case, etc.
+Certain cleaning steps, like removing rows with null values, are helpful to do at the beginning of the process because removing nulls and duplicates from the start can increase the performance of your downstream models. In the cleaning step, it’s important to follow a standard for your transformations here. This means you should be following a consistent naming convention for your columns (especially for your primary keys) and casting to the same timezone and datatypes throughout your models. Examples include making sure all dates are in UTC time rather than source timezone-specific, all strings are in either lower or upper case, etc.
:::tip dbt to the rescue!
If you're struggling to do all the cleaning on your own, remember that dbt packages ([dbt expectations](https://github.com/calogica/dbt-expectations), [dbt_utils](https://hub.getdbt.com/dbt-labs/dbt_utils/latest/), and [re_data](https://www.getre.io/)) and their macros are also available to help you clean up your data.
diff --git a/website/sidebars.js b/website/sidebars.js
index 4653b028ef9..598fffc7f0d 100644
--- a/website/sidebars.js
+++ b/website/sidebars.js
@@ -424,6 +424,8 @@ const sidebarSettings = {
link: { type: "doc", id: "docs/collaborate/explore-projects" },
items: [
"docs/collaborate/explore-projects",
+ "docs/collaborate/model-performance",
+ "docs/collaborate/project-recommendations",
"docs/collaborate/explore-multiple-projects",
],
},
diff --git a/website/snippets/_cloud-environments-info.md b/website/snippets/_cloud-environments-info.md
index 4e1cba64e00..6e096b83750 100644
--- a/website/snippets/_cloud-environments-info.md
+++ b/website/snippets/_cloud-environments-info.md
@@ -62,7 +62,7 @@ By default, all environments will use the default branch in your repository (usu
For more info, check out this [FAQ page on this topic](/faqs/Environments/custom-branch-settings)!
-### Extended attributes
+### Extended attributes
:::note
Extended attributes are retrieved and applied only at runtime when `profiles.yml` is requested for a specific Cloud run. Extended attributes are currently _not_ taken into consideration for Cloud-specific features such as PrivateLink or SSH Tunneling that do not rely on `profiles.yml` values.
diff --git a/website/snippets/_new-sl-setup.md b/website/snippets/_new-sl-setup.md
index 3cb6e09eb4c..18e75c3278d 100644
--- a/website/snippets/_new-sl-setup.md
+++ b/website/snippets/_new-sl-setup.md
@@ -1,6 +1,7 @@
You can set up the dbt Semantic Layer in dbt Cloud at the environment and project level. Before you begin:
-- You must have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment. Single-tenant coming soon.
+- You must have a dbt Cloud Team or Enterprise account. Suitable for both Multi-tenant and Single-tenant deployment.
+ - Single-tenant accounts should contact their account representative for necessary setup and enablement.
- 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 configure the Semantic Layer:
* Enterprise plan — Developer license with Account Admin permissions. Or Owner with a Developer license, assigned Project Creator, Database Admin, or Admin permissions.
* Team plan — Owner with a Developer license.
diff --git a/website/snippets/_sl-connect-and-query-api.md b/website/snippets/_sl-connect-and-query-api.md
index 429f41c3bf6..f7f1d2add24 100644
--- a/website/snippets/_sl-connect-and-query-api.md
+++ b/website/snippets/_sl-connect-and-query-api.md
@@ -1,10 +1,8 @@
You can query your metrics in a JDBC-enabled tool or use existing first-class integrations with the dbt Semantic Layer.
-You must have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment. Single-tenant coming soon.
-
+- You must have a dbt Cloud Team or Enterprise account. Suitable for both Multi-tenant and Single-tenant deployment.
+ - Single-tenant accounts should contact their account representative for necessary setup and enablement.
- To learn how to use the JDBC or GraphQL API and what tools you can query it with, refer to [dbt Semantic Layer APIs](/docs/dbt-cloud-apis/sl-api-overview).
-
* To authenticate, you need to [generate a service token](/docs/dbt-cloud-apis/service-tokens) with Semantic Layer Only and Metadata Only permissions.
* Refer to the [SQL query syntax](/docs/dbt-cloud-apis/sl-jdbc#querying-the-api-for-metric-metadata) to query metrics using the API.
-
- To learn more about the sophisticated integrations that connect to the dbt Semantic Layer, refer to [Available integrations](/docs/use-dbt-semantic-layer/avail-sl-integrations) for more info.
diff --git a/website/snippets/_sl-plan-info.md b/website/snippets/_sl-plan-info.md
index 083ab2209bc..fe4e6024226 100644
--- a/website/snippets/_sl-plan-info.md
+++ b/website/snippets/_sl-plan-info.md
@@ -1,2 +1,2 @@
-To define and query metrics with the {props.product}, you must be on a {props.plan} multi-tenant plan .
+To define and query metrics with the {props.product}, you must be on a {props.plan} account. Suitable for both Multi-tenant and Single-tenant accounts. Note: Single-tenant accounts should contact their account representative for necessary setup and enablement.
diff --git a/website/snippets/_v2-sl-prerequisites.md b/website/snippets/_v2-sl-prerequisites.md
index c80db4d1c8f..eb8b5fc27e4 100644
--- a/website/snippets/_v2-sl-prerequisites.md
+++ b/website/snippets/_v2-sl-prerequisites.md
@@ -1,15 +1,16 @@
-- Have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment. Single-tenant coming soon.
-- Have both your production and development environments running dbt version 1.6 or higher. Refer to [upgrade in dbt Cloud](/docs/dbt-versions/upgrade-core-in-cloud) for more info.
+- Have a dbt Cloud Team or Enterprise account. Suitable for both Multi-tenant and Single-tenant deployment.
+ - Note: Single-tenant accounts should contact their account representative for necessary setup and enablement.
+- Have both your production and development environments running [dbt version 1.6 or higher](/docs/dbt-versions/upgrade-core-in-cloud).
- Use Snowflake, BigQuery, Databricks, or Redshift.
- Create a successful run in the environment where you configure the Semantic Layer.
- **Note:** Semantic Layer currently supports the Deployment environment for querying. (_development querying experience coming soon_)
- Set up the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) in the integrated tool to import metric definitions.
- - To access the API and query metrics in downstream tools, you must have a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account. dbt Core or Developer accounts can define metrics but won't be able to dynamically query them.
+ - dbt Core or Developer accounts can define metrics but won't be able to dynamically query them.
- Understand [MetricFlow's](/docs/build/about-metricflow) key concepts, which powers the latest dbt Semantic Layer.
-- Note that SSH tunneling for [Postgres and Redshift](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) connections, [PrivateLink](/docs/cloud/secure/about-privatelink), and [Single sign-on (SSO)](/docs/cloud/manage-access/sso-overview) isn't supported yet.
+- Note that SSH tunneling for [Postgres and Redshift](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) connections, [PrivateLink](/docs/cloud/secure/about-privatelink), and [Single sign-on (SSO)](/docs/cloud/manage-access/sso-overview) doesn't supported the dbt Semantic Layer yet.
diff --git a/website/src/components/communitySpotlightCard/index.js b/website/src/components/communitySpotlightCard/index.js
index 08707a93dd4..122edee8f06 100644
--- a/website/src/components/communitySpotlightCard/index.js
+++ b/website/src/components/communitySpotlightCard/index.js
@@ -1,5 +1,6 @@
import React from 'react'
import Link from '@docusaurus/Link';
+import Head from "@docusaurus/Head";
import styles from './styles.module.css';
import imageCacheWrapper from '../../../functions/image-cache-wrapper';
@@ -47,24 +48,45 @@ function CommunitySpotlightCard({ frontMatter, isSpotlightMember = false }) {
jobTitle,
companyName,
organization,
- socialLinks
+ socialLinks,
+ communityAward
} = frontMatter
- return (
-
+ // Get meta description text
+ const metaDescription = stripHtml(description)
+
+ return (
+
+ {isSpotlightMember && metaDescription ? (
+
+
+
+
+ ) : null}
+ {communityAward ? (
+