Merge branch 'current' into dbt-teradata-1.6

website/docs/community/spotlight/oliver-cramer.md

@@ -24,7 +24,7 @@ I joined the dbt community in 2022. My current focus is on building modern data
 
 ## What dbt community leader do you identify with? How are you looking to grow your leadership in the dbt community?
 
-I like working with dbt Labs' Sean McIntyre to promote Data Vault in Europe and Victoria Mola, also from dbt Labs, is always a great help when I have questions about dbt.
+I like working with dbt Labs' Sean McIntyre to promote Data Vault in Europe and Victoria Perez Mola, also from dbt Labs, is always a great help when I have questions about dbt.
 
 ## What have you learned from community members? What do you hope others can learn from you?
 

website/docs/docs/build/saved-queries.md

@@ -19,14 +19,14 @@ To define a saved query, refer to the following specification:
 The following is an example of a saved query:
 
 ```yaml
-saved_query:
+saved_queries:
   name: p0_booking
   description: Booking-related metrics that are of the highest priority.
   query_params:
     metrics:
       - bookings
       - instant_bookings
-    group_bys:
+    group_by:
       - TimeDimension('metric_time', 'day')
       - Dimension('listing__capacity_latest')
     where:

website/docs/docs/build/semantic-models.md

@@ -123,14 +123,18 @@ semantic_models:
     config:
       enabled: true | false
       group: some_group
+      meta:
+        some_key: some_value
 ```
 
 Semantic model config in `dbt_project.yml`:
 ```yml
-semantic_models:
+semantic-models:
   my_project_name:
     +enabled: true | false
     +group: some_group
+    +meta:
+      some_key: some_value
 ```
 
 </VersionBlock>

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

@@ -73,7 +73,9 @@ Before you begin, make sure you have [Homebrew installed](http://brew.sh/) in yo
    
    * Note that you no longer need to run the `dbt deps` command when your environment starts. This step was previously required during initialization. However, you should still run `dbt deps` if you make any changes to your `packages.yml` file.
 
-4. After you've verified the installation, [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project and use it to run [dbt commands](/reference/dbt-commands) similar to dbt Core. For example, execute `dbt compile` to compile a project using dbt Cloud and validate your models and tests.
+4. Clone your repository to your local computer using `git clone`. For example, to clone a GitHub repo using HTTPS format, run `git clone https://github.com/YOUR-USERNAME/YOUR-REPOSITORY`.
+
+5. After cloning your repo, [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project. This lets you run dbt commands like `dbt compile` to compile your project and validate models and tests. You can also add, edit, and synchronize files with your repo.
 
 
 </TabItem>
@@ -102,7 +104,9 @@ Note that if you are using VS Code, you must restart it to pick up modified envi
    
    * Note that you no longer need to run the `dbt deps` command when your environment starts. This step was previously required during initialization. However, you should still run `dbt deps` if you make any changes to your `packages.yml` file.
 
-4. After installation, [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project and use it to run [dbt commands](/reference/dbt-commands) similar to dbt Core. For example, execute `dbt compile`, to compile a project using dbt Cloud and confirm that it works.
+4. Clone your repository to your local computer using `git clone`. For example, to clone a GitHub repo using HTTPS format, run `git clone https://github.com/YOUR-USERNAME/YOUR-REPOSITORY`.
+
+5. After cloning your repo, [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project. This lets you run dbt commands like `dbt compile` to compile your project and validate models and tests. You can also add, edit, and synchronize files with your repo.
 
 </TabItem>
 
@@ -134,7 +138,9 @@ Advanced users can configure multiple projects to use the same Cloud CLI executa
    
    * Note that you no longer need to run the `dbt deps` command when your environment starts. This step was previously required during initialization. However, you should still run `dbt deps` if you make any changes to your `packages.yml` file.
 
-4. After installation, [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project and use it to run [dbt commands](/reference/dbt-commands) similar to dbt Core. For example, execute `dbt compile`, to compile a project using dbt Cloud and confirm that it works.
+4. Clone your repository to your local computer using `git clone`. For example, to clone a GitHub repo using HTTPS format, run `git clone https://github.com/YOUR-USERNAME/YOUR-REPOSITORY`.
+
+5. After cloning your repo, [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project. This lets you run dbt commands like `dbt compile` to compile your project and validate models and tests. You can also add, edit, and synchronize files with your repo.
 
 </TabItem>
 
@@ -187,17 +193,19 @@ We recommend using virtual environments (venv) to namespace `cloud-cli`.
 2. Make sure you're in your virtual environment and run the following command to install the dbt Cloud CLI:
 
   ```bash
-  pip3 install dbt
+  pip install dbt --no-cache-dir
   ```
 
-1. (Optional) To revert back to dbt Core, first uninstall both the dbt Cloud CLI and dbt Core. Then reinstall dbt Core.
+3. (Optional) To revert to dbt Core, first uninstall both the dbt Cloud CLI and dbt Core. Then reinstall dbt Core.
 
   ```bash
-  pip3 uninstall dbt-core dbt
+  pip uninstall dbt-core dbt
   pip install dbt-adapter_name --force-reinstall
   ```
 
-4. After you've verified the installation, [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project. You can then use it to run [dbt commands](/reference/dbt-commands) similar to dbt Core. For example, execute `dbt compile` to compile a project using dbt Cloud and validate your models and tests.
+4. Clone your repository to your local computer using `git clone`. For example, to clone a GitHub repo using HTTPS format, run `git clone https://github.com/YOUR-USERNAME/YOUR-REPOSITORY`.
+
+5. After cloning your repo, [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project. This lets you run dbt commands like `dbt compile` to compile your project and validate models and tests. You can also add, edit, and synchronize files with your repo.
 
 </TabItem>
 

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

@@ -76,6 +76,8 @@ Once you install the dbt Cloud CLI, you need to configure it to connect to a dbt
 
    - To find your project ID, select **Develop** in the dbt Cloud navigation menu. You can use the URL to find the project ID. For example, in `https://cloud.getdbt.com/develop/26228/projects/123456`, the project ID is `123456`.
 
+6. You can now [use the dbt Cloud CLI](#use-the-dbt-cloud-cli) and run [dbt commands](/reference/dbt-commands) like `dbt compile`. With your repo recloned, you can add, edit, and sync files with your repo.
+
 ### Set environment variables
 
 To set environment variables in the dbt Cloud CLI for your dbt project:

website/docs/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb.md

@@ -13,10 +13,12 @@ The following fields are required when creating a Postgres, Redshift, or AlloyDB
 | Port | Usually 5432 (Postgres) or 5439 (Redshift) | `5439` |
 | Database | The logical database to connect to and run queries against. | `analytics` |
 
-**Note**: When you set up a Redshift or Postgres connection in dbt Cloud, SSL-related parameters aren't available as inputs.
+**Note**: When you set up a Redshift or Postgres connection in dbt Cloud, SSL-related parameters aren't available as inputs. 
 
 <Lightbox src="/img/docs/dbt-cloud/cloud-configuring-dbt-cloud/postgres-redshift-connection.png" width="70%" title="Configuring a Redshift connection"/>
 
+For dbt Cloud users, please log in using the default Database username and password. Note this is because [`IAM` authentication](https://docs.aws.amazon.com/redshift/latest/mgmt/generating-user-credentials.html) is not compatible with dbt Cloud.
+
 ### Connecting via an SSH Tunnel
 
 To connect to a Postgres, Redshift, or AlloyDB instance via an SSH tunnel, select the **Use SSH Tunnel** option when creating your connection. When configuring the tunnel, you must supply the hostname, username, and port for the [bastion server](#about-the-bastion-server-in-aws).

website/docs/docs/core/connect-data-platform/fabric-setup.md

@@ -15,9 +15,9 @@ meta:
 
 :::info
 
-Below is a guide for use with "Synapse Data Warehouse" a new product within Microsoft Fabric (preview) ([more info](https://learn.microsoft.com/en-us/fabric/data-warehouse/data-warehousing#synapse-data-warehouse))
+Below is a guide for use with [Synapse Data Warehouse](https://learn.microsoft.com/en-us/fabric/data-warehouse/data-warehousing#synapse-data-warehouse), a new product within Microsoft Fabric.
 
-To learn how to set up dbt with Azure Synapse Dedicated Pools, see [Microsoft Azure Synapse DWH setup](/docs/core/connect-data-platform/azuresynapse-setup) 
+To learn how to set up dbt with Azure Synapse Dedicated Pools, refer to [Microsoft Azure Synapse DWH setup](/docs/core/connect-data-platform/azuresynapse-setup).
 
 :::
 

website/docs/docs/core/connect-data-platform/redshift-setup.md

@@ -70,8 +70,9 @@ pip is the easiest way to install the adapter:
 The authentication methods that dbt Core supports are: 
 
 - `database` — Password-based authentication (default, will be used if `method` is not provided)
-- `IAM` — IAM 
+- `IAM` — IAM
 
+For dbt Cloud users, log in using the default **Database username** and **password**. This is necessary because dbt Cloud does not support `IAM` authentication.
 
 Click on one of these authentication methods for further details on how to configure your connection profile. Each tab also includes an example `profiles.yml` configuration file for you to review.
 

website/docs/docs/dbt-versions/release-notes/02-Nov-2023/microsoft-fabric-support-rn.md

@@ -0,0 +1,18 @@
+---
+title: "New: Public Preview of Microsoft Fabric support in dbt Cloud"
+description: "November 2023: Public Preview now available for Microsoft Fabric in dbt Cloud"
+sidebar_label: "New: Public Preview of Microsoft Fabric support"
+sidebar_position: 09
+tags: [Nov-2023]
+---
+
+Public Preview is now available in dbt Cloud for Microsoft Fabric! 
+
+To learn more, check out the [Quickstart for dbt Cloud and Microsoft Fabric](/guides/microsoft-fabric?step=1). The guide walks you through: 
+
+- Loading the Jaffle Shop sample data (provided by dbt Labs) into your Microsoft Fabric warehouse. 
+- Connecting dbt Cloud to Microsoft Fabric.
+- Turning a sample query into a model in your dbt project. A model in dbt is a SELECT statement.
+- Adding tests to your models.
+- Documenting your models.
+- Scheduling a job to run.

website/docs/docs/deploy/ci-jobs.md

@@ -15,7 +15,7 @@ dbt Labs recommends that you create your CI job in a dedicated dbt Cloud [deploy
 - You have a dbt Cloud account.
 - For 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/).
 - You must be connected using dbt Cloud’s native Git integration with [GitHub](/docs/cloud/git/connect-github), [GitLab](/docs/cloud/git/connect-gitlab), or [Azure DevOps](/docs/cloud/git/connect-azure-devops).
-    - If you’re using GitLab, you must use a paid or self-hosted account which includes support for GitLab webhooks.
+    - With GitLab, you need a paid or self-hosted account which includes support for GitLab webhooks and [project access tokens](https://docs.gitlab.com/ee/user/project/settings/project_access_tokens.html). With GitLab Free, merge requests will invoke CI jobs but CI status updates (success or failure of the job) will not be reported back to GitLab. 
     - If you previously configured your dbt project by providing a generic git URL that clones using SSH, you must reconfigure the project to connect through dbt Cloud's native integration.