From 894086d022d0e8ebf4b78ce6c097d55a018834c3 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 12 Oct 2023 10:52:15 +0100
Subject: [PATCH 01/66] Update custom-branch-settings.md

adding info about main branch being editable if custom branch is set
---
 .../Environments/custom-branch-settings.md    | 19 ++++++++++++++-----
 1 file changed, 14 insertions(+), 5 deletions(-)

diff --git a/website/docs/faqs/Environments/custom-branch-settings.md b/website/docs/faqs/Environments/custom-branch-settings.md
index 95929d2d393..110265b0087 100644
--- a/website/docs/faqs/Environments/custom-branch-settings.md
+++ b/website/docs/faqs/Environments/custom-branch-settings.md
@@ -1,5 +1,5 @@
 ---
-title: How do I use the `Custom Branch` settings in a dbt Cloud Environment?
+title: How do I use the 'Custom Branch' settings in a dbt Cloud Environment?
 description: "Use custom code from your repository"
 sidebar_label: 'Custom Branch settings'
 id: custom-branch-settings
@@ -15,12 +15,21 @@ To specify a custom branch:
 
 ## Development
 
-In a development environment, the default branch (commonly the `main` branch) is a read-only branch found in the IDE's connected repositories, which you can use to create development branches. Identifying a custom branch overrides this default behavior. Instead, your custom branch becomes read-only and can be used to create development branches. You will no longer be able to make commits to the custom branch from within the dbt Cloud IDE.
+In a development environment, the default branch (usually named `main`) is a read-only branch in your connected repositories, which allows you to create new branches for development based on it.  
 
-For example, you can use the `develop` branch of a connected repository. Edit an environment, select  **Only run on a custom branch** in **General settings** , enter **develop** as the name of your custom branch.
+Specifying a **Custom branch** overrides the default behavior. It makes the custom branch 'read-only' and enables you to create new development branches based on it. This also means you can't edit this custom branch directly.
 
-<Lightbox src="/img/docs/dbt-cloud/cloud-configuring-dbt-cloud/dev-environment-custom-branch.png" title="Configuring a custom base repository branch"/>
+Only one branch can be read-only, which means when you set up a custom branch, your `main` branch (usually read-only) becomes editable. If you want to protect the `main` branch and prevent any commits on it, you need to set up branch protection rules in your git provider settings. This ensures your `main` branch remains secure and no new commits can be made to it.
+
+For example, if you want to use the `develop` branch of a connected repository:
+
+- Go to an environment and select **Settings** to edit it
+- Select  **Only run on a custom branch** in **General settings**
+- Enter **develop** as the name of your custom branch
+- Click **Save**
+
+<Lightbox src="/img/docs/dbt-cloud/cloud-configuring-dbt-cloud/dev-environment-custom-branch.png" width="70%" title="Configuring a custom base repository branch"/>
 
 ## Deployment
 
-When running jobs in a deployment environment, dbt will clone your project from your connected repository before executing your models. By default, dbt uses the default branch of your repository (commonly the `main` branch). To specify a different version of your project for dbt to execute during job runs in a particular environment, you can edit the Custom Branch setting as shown in the previous steps. 
\ No newline at end of file
+When running jobs in a deployment environment, dbt will clone your project from your connected repository before executing your models. By default, dbt uses the default branch of your repository (commonly the `main` branch). To specify a different version of your project for dbt to execute during job runs in a particular environment, you can edit the Custom Branch setting as shown in the previous steps. 

From 227a9794a79f1779842c9abe5946685dbc7b5468 Mon Sep 17 00:00:00 2001
From: Astralidea <astralidea@163.com>
Date: Tue, 17 Oct 2023 17:04:40 +0800
Subject: [PATCH 02/66] add adapter docs for starrocks

---
 website/docs/docs/community-adapters.md       |  12 +-
 .../connect-data-platform/starrocks-setup.md  | 103 ++++++++++++++++
 .../resource-configs/starrocks-configs.md     | 116 ++++++++++++++++++
 website/sidebars.js                           |   2 +
 4 files changed, 227 insertions(+), 6 deletions(-)
 create mode 100644 website/docs/docs/core/connect-data-platform/starrocks-setup.md
 create mode 100644 website/docs/reference/resource-configs/starrocks-configs.md

diff --git a/website/docs/docs/community-adapters.md b/website/docs/docs/community-adapters.md
index 87d1bd4981e..444ea0e04b4 100644
--- a/website/docs/docs/community-adapters.md
+++ b/website/docs/docs/community-adapters.md
@@ -11,10 +11,10 @@ Community adapters are adapter plugins contributed and maintained by members of
 | [Clickhouse](/docs/core/connect-data-platform/clickhouse-setup)  | [Hive](/docs/core/connect-data-platform/hive-setup)   | [Rockset](/docs/core/connect-data-platform/rockset-setup)   |
 | [IBM DB2](/docs/core/connect-data-platform/ibmdb2-setup)  | [Impala](/docs/core/connect-data-platform/impala-setup)           | [SingleStore](/docs/core/connect-data-platform/singlestore-setup)  |
 | [Doris & SelectDB](/docs/core/connect-data-platform/doris-setup) | [Infer](/docs/core/connect-data-platform/infer-setup)  | [SQLite](/docs/core/connect-data-platform/sqlite-setup) |
-| [DuckDB](/docs/core/connect-data-platform/duckdb-setup)  | [iomete](/docs/core/connect-data-platform/iomete-setup)    | [SQL Server & Azure SQL](/docs/core/connect-data-platform/mssql-setup) |
-| [Dremio](/docs/core/connect-data-platform/dremio-setup)    | [Layer](/docs/core/connect-data-platform/layer-setup)  | [Teradata](/docs/core/connect-data-platform/teradata-setup)    |
-| [Exasol Analytics](/docs/core/connect-data-platform/exasol-setup)  | [Materialize](/docs/core/connect-data-platform/materialize-setup) | [TiDB](/docs/core/connect-data-platform/tidb-setup)                    |
-| [Firebolt](/docs/core/connect-data-platform/firebolt-setup)  | [MindsDB](/docs/core/connect-data-platform/mindsdb-setup)  | [Vertica](/docs/core/connect-data-platform/vertica-setup)              |
-| [AWS Glue](/docs/core/connect-data-platform/glue-setup) | [MySQL](/docs/core/connect-data-platform/mysql-setup)|  [Upsolver](/docs/core/connect-data-platform/upsolver-setup) |
-| [Databend Cloud](/docs/core/connect-data-platform/databend-setup) | [fal - Python models](/docs/core/connect-data-platform/fal-setup) |      |
+| [Starrocks](/docs/core/connect-data-platform/starrocks-setup) | [DuckDB](/docs/core/connect-data-platform/duckdb-setup)  | [iomete](/docs/core/connect-data-platform/iomete-setup) 
+| [SQL Server & Azure SQL](/docs/core/connect-data-platform/mssql-setup) | [Dremio](/docs/core/connect-data-platform/dremio-setup)    | [Layer](/docs/core/connect-data-platform/layer-setup) 
+| [Teradata](/docs/core/connect-data-platform/teradata-setup)    | [Exasol Analytics](/docs/core/connect-data-platform/exasol-setup)  | [Materialize](/docs/core/connect-data-platform/materialize-setup)
+| [TiDB](/docs/core/connect-data-platform/tidb-setup)        | [Firebolt](/docs/core/connect-data-platform/firebolt-setup)  | [MindsDB](/docs/core/connect-data-platform/mindsdb-setup)
+| [Vertica](/docs/core/connect-data-platform/vertica-setup)     | [AWS Glue](/docs/core/connect-data-platform/glue-setup) | [MySQL](/docs/core/connect-data-platform/mysql-setup) | 
+| [Upsolver](/docs/core/connect-data-platform/upsolver-setup) | [Databend Cloud](/docs/core/connect-data-platform/databend-setup) | [fal - Python models](/docs/core/connect-data-platform/fal-setup) |
 
diff --git a/website/docs/docs/core/connect-data-platform/starrocks-setup.md b/website/docs/docs/core/connect-data-platform/starrocks-setup.md
new file mode 100644
index 00000000000..e5c1abac037
--- /dev/null
+++ b/website/docs/docs/core/connect-data-platform/starrocks-setup.md
@@ -0,0 +1,103 @@
+---
+title: "Starrocks setup"
+description: "Read this guide to learn about the Starrocks warehouse setup in dbt."
+id: "starrocks-setup"
+meta:
+  maintained_by: Starrocks
+  authors: Astralidea
+  github_repo: 'StarRocks/starrocks/tree/main/contrib/dbt-connector'
+  pypi_package: 'dbt-starrocks'
+  min_core_version: 'v1.6.2'
+  min_supported_version: 'Starrocks 2.5'
+  cloud_support: Not Supported
+  slack_channel_name: '#db-starrocks'
+  slack_channel_link: 'https://www.getdbt.com/community'
+  platform_name: 'Starrocks'
+  config_page: '/reference/resource-configs/starrocks-configs'
+---
+
+<h2> Overview of {frontMatter.meta.pypi_package} </h2>
+
+<ul>
+    <li><strong>Maintained by</strong>: {frontMatter.meta.maintained_by}</li>
+    <li><strong>Authors</strong>: {frontMatter.meta.authors}</li>
+    <li><strong>GitHub repo</strong>: <a href={`https://github.com/${frontMatter.meta.github_repo}`}>{frontMatter.meta.github_repo}</a><a href={`https://github.com/${frontMatter.meta.github_repo}`}><img src={`https://img.shields.io/github/stars/${frontMatter.meta.github_repo}?style=for-the-badge`}/></a></li>
+    <li><strong>PyPI package</strong>: <code>{frontMatter.meta.pypi_package}</code> <a href={`https://badge.fury.io/py/${frontMatter.meta.pypi_package}`}><img src={`https://badge.fury.io/py/${frontMatter.meta.pypi_package}.svg`}/></a></li>
+    <li><strong>Slack channel</strong>: <a href={frontMatter.meta.slack_channel_link}>{frontMatter.meta.slack_channel_name}</a></li>
+    <li><strong>Supported dbt Core version</strong>: {frontMatter.meta.min_core_version} and newer</li>
+    <li><strong>dbt Cloud support</strong>: {frontMatter.meta.cloud_support}</li>
+    <li><strong>Minimum data platform version</strong>: {frontMatter.meta.min_supported_version}</li>
+    </ul>
+
+
+<h2> Installing {frontMatter.meta.pypi_package} </h2>
+
+pip is the easiest way to install the adapter:
+
+<code>pip install {frontMatter.meta.pypi_package}</code>
+
+<p>Installing <code>{frontMatter.meta.pypi_package}</code> will also install <code>dbt-core</code> and any other dependencies.</p>
+
+<h2> Configuring {frontMatter.meta.pypi_package} </h2>
+
+<p>For {frontMatter.meta.platform_name}-specifc configuration please refer to <a href={frontMatter.meta.config_page}>{frontMatter.meta.platform_name} Configuration</a> </p>
+
+<p>For further info, refer to the GitHub repository: <a href={`https://github.com/${frontMatter.meta.github_repo}`}>{frontMatter.meta.github_repo}</a></p>
+
+
+## Authentication Methods
+
+### User / Password Authentication
+
+Starrocks can be configured using basic user/password authentication as shown below.
+
+<File name='~/.dbt/profiles.yml'>
+
+```yaml
+my-starrocks-db:
+  target: dev
+  outputs:
+    dev:
+      type: starrocks
+      host: localhost
+      port: 9030
+      schema: analytics
+      
+      # User/password auth
+      username: your_starrocks_username
+      password: your_starrocks_password
+```
+
+</File>
+
+#### Description of Profile Fields
+| Option   | Description                                            | Required? | Example                        |
+|----------|--------------------------------------------------------|-----------|--------------------------------|
+| type     | The specific adapter to use                            | Required  | `starrocks`                    |
+| host     | The hostname to connect to                             | Required  | `192.168.100.28`               |
+| port     | The port to use                                        | Required  | `9030`                         |
+| schema   | Specify the schema (database) to build models into     | Required  | `analytics`                    |
+| username | The username to use to connect to the server           | Required  | `dbt_admin`                    |
+| password | The password to use for authenticating to the server   | Required  | `correct-horse-battery-staple` |
+| version  | Let Plugin try to go to a compatible starrocks version | Optional  | `3.1.0`                        |
+
+## Supported features
+
+| Starrocks <= 2.5 | Starrocks 2.5 ~ 3.1  | Starrocks >= 3.1  |              Feature              |
+|:----------------:|:--------------------:|:-----------------:|:---------------------------------:|
+|        ✅         |          ✅           |         ✅         |       Table materialization       |
+|        ✅         |          ✅           |         ✅         |       View materialization        |
+|        ❌         |          ❌           |         ✅         | Materialized View materialization |
+|        ❌         |          ✅           |         ✅         |    Incremental materialization    |
+|        ❌         |          ✅           |         ✅         |         Primary Key Model         |
+|        ✅         |          ✅           |         ✅         |              Sources              |
+|        ✅         |          ✅           |         ✅         |         Custom data tests         |
+|        ✅         |          ✅           |         ✅         |           Docs generate           |
+|        ❌         |          ❌           |         ❌         |               Kafka               |
+
+### Notice
+1. When StarRocks Version < 2.5, `Create table as` can only set engine='OLAP' and table_type='DUPLICATE'
+2. When StarRocks Version >= 2.5, `Create table as` supports table_type='PRIMARY'
+3. When StarRocks Version < 3.1 distributed_by is required
+
+It is recommended to use the latest starrocks version and dbt-starrocks version for the best experience.
\ No newline at end of file
diff --git a/website/docs/reference/resource-configs/starrocks-configs.md b/website/docs/reference/resource-configs/starrocks-configs.md
new file mode 100644
index 00000000000..093534515c6
--- /dev/null
+++ b/website/docs/reference/resource-configs/starrocks-configs.md
@@ -0,0 +1,116 @@
+---
+title: "Starrocks configurations"
+id: "starrocks-configs"
+description: "Starrocks Configurations - Read this in-depth guide to learn about configurations in dbt."
+---
+
+## Model Configuration
+
+A dbt model can be configured using the following syntax:
+
+<Tabs
+  groupId="config-fact"
+  defaultValue="project-yaml"
+  values={[
+    { label: 'Project file', value: 'project-yaml', },
+    { label: 'Property file', value: 'property-yaml', },
+    { label: 'Config block', value: 'config', },
+  ]
+}>
+
+
+<TabItem value="project-yaml">
+<File name='dbt_project.yml'>
+
+```yaml
+models:
+  <resource-path>:
+    materialized: table       // table or view or materialized_view
+    keys: ['id', 'name', 'some_date']
+    table_type: 'PRIMARY'     // PRIMARY or DUPLICATE or UNIQUE
+    distributed_by: ['id']
+    buckets: 3                // default 10
+    partition_by: ['some_date']
+    partition_by_init: ["PARTITION p1 VALUES [('1971-01-01 00:00:00'), ('1991-01-01 00:00:00')),PARTITION p1972 VALUES [('1991-01-01 00:00:00'), ('1999-01-01 00:00:00'))"]
+    properties: [{"replication_num":"1", "in_memory": "true"}]
+    refresh_method: 'async' // only for materialized view default manual
+```
+
+</File>
+</TabItem>
+
+<TabItem value="property-yaml">
+<File name='models/properties.yml'>
+
+```yaml
+models:
+  - name: <model-name>
+    config:
+      materialized: table       // table or view or materialized_view
+      keys: ['id', 'name', 'some_date']
+      table_type: 'PRIMARY'     // PRIMARY or DUPLICATE or UNIQUE
+      distributed_by: ['id']
+      buckets: 3                // default 10
+      partition_by: ['some_date']
+      partition_by_init: ["PARTITION p1 VALUES [('1971-01-01 00:00:00'), ('1991-01-01 00:00:00')),PARTITION p1972 VALUES [('1991-01-01 00:00:00'), ('1999-01-01 00:00:00'))"]
+      properties: [{"replication_num":"1", "in_memory": "true"}]
+      refresh_method: 'async' // only for materialized view default manual
+```
+
+</File>
+</TabItem>
+
+<TabItem value="config">
+<File name='models/<model_name>.sql'>
+
+```jinja
+{{ config(
+    materialized = 'table',
+    keys=['id', 'name', 'some_date'],
+    table_type='PRIMARY',
+    distributed_by=['id'],
+    buckets=3,
+    partition_by=['some_date'],
+    ....
+) }}
+```
+</File>
+</TabItem>
+</Tabs>
+
+### Configuration Description
+
+| Option              | Description                                                                                                                                                                                  |
+|---------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| `materialized`      | How the model will be materialized into Starrocks. Supports view, table, incremental, ephemeral, and materialized_view.                                                                      |
+| `keys`              | Which columns serve as keys.                                                                                                                                                                 |
+| `table_type`        | Table type, supported are PRIMARY or DUPLICATE or UNIQUE.                                                                                                                                    |
+| `distributed_by`    | Specifies the column of data distribution. If not specified, it defaults to random.                                                                                                          |
+| `buckets`           | The bucket number in one partition. If not specified, it will be automatically inferred.                                                                                                     |
+| `partition_by`      | The partition column list.                                                                                                                                                                   |
+| `partition_by_init` | The partition rule or some real partitions item.                                                                                                                                             |
+| `properties`        | The table properties configuration of Starrocks. ([Starrocks table properties](https://docs.starrocks.io/en-us/latest/sql-reference/sql-statements/data-definition/CREATE_TABLE#properties)) |
+| `refresh_method`    | How to refresh materialized views.                                                                                                                                                           |
+
+## Read From Catalog
+First you need to add this catalog to starrocks. The following is an example of hive.
+
+```sql
+CREATE EXTERNAL CATALOG `hive_catalog`
+PROPERTIES (
+    "hive.metastore.uris"  =  "thrift://127.0.0.1:8087",
+    "type"="hive"
+);
+```
+How to add other types of catalogs can be found in the documentation. [Catalog Overview](https://docs.starrocks.io/en-us/latest/data_source/catalog/catalog_overview) Then write the sources.yaml file.
+```yaml
+sources:
+  - name: external_example
+    schema: hive_catalog.hive_db
+    tables:
+      - name: hive_table_name
+```
+Finally, you might use below marco quote
+```jinja
+{{ source('external_example', 'hive_table_name') }}
+```
\ No newline at end of file
diff --git a/website/sidebars.js b/website/sidebars.js
index b4da9d911d7..77827b03507 100644
--- a/website/sidebars.js
+++ b/website/sidebars.js
@@ -225,6 +225,7 @@ const sidebarSettings = {
                 "docs/core/connect-data-platform/fal-setup",
                 "docs/core/connect-data-platform/decodable-setup",
                 "docs/core/connect-data-platform/upsolver-setup",
+                "docs/core/connect-data-platform/starrocks-setup",
               ],
             },
           ],
@@ -670,6 +671,7 @@ const sidebarSettings = {
         "reference/resource-configs/fal-configs",
         "reference/resource-configs/oracle-configs",
         "reference/resource-configs/upsolver-configs",
+        "reference/resource-configs/starrocks-configs",
       ],
     },
     {

From 55b8a7456ee96bd9ac3c6ce3198b00d60dd462bd Mon Sep 17 00:00:00 2001
From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com>
Date: Tue, 17 Oct 2023 16:06:59 -0400
Subject: [PATCH 03/66] Change Alloy repo

---
 website/docs/docs/core/connect-data-platform/alloydb-setup.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/core/connect-data-platform/alloydb-setup.md b/website/docs/docs/core/connect-data-platform/alloydb-setup.md
index c3f3ee9cfca..c01ba06d887 100644
--- a/website/docs/docs/core/connect-data-platform/alloydb-setup.md
+++ b/website/docs/docs/core/connect-data-platform/alloydb-setup.md
@@ -3,7 +3,7 @@ title: "AlloyDB setup"
 meta:
   maintained_by: Community?
   authors: 'dbt-labs'
-  github_repo: 'dbt-labs/dbt-postgres'
+  github_repo: 'dbt-labs/dbt-core'
   pypi_package: 'dbt-postgres'
   min_core_version: 'v1.0.0'
   cloud_support: Not Supported

From f8d196e5894dd5e55a7ca5fa097ca289c82fc898 Mon Sep 17 00:00:00 2001
From: Anks Su <6273915+anksu2024@users.noreply.github.com>
Date: Wed, 18 Oct 2023 17:00:21 -0700
Subject: [PATCH 04/66] ensure learners don't try to create a new file in main
 file

Updated instructions to ensure that the learners don't struggle with creating new files in the main branch.
---
 website/docs/quickstarts/bigquery-qs.md | 13 +++++--------
 1 file changed, 5 insertions(+), 8 deletions(-)

diff --git a/website/docs/quickstarts/bigquery-qs.md b/website/docs/quickstarts/bigquery-qs.md
index e50b8aff26a..18086e9cbfb 100644
--- a/website/docs/quickstarts/bigquery-qs.md
+++ b/website/docs/quickstarts/bigquery-qs.md
@@ -88,7 +88,7 @@ In order to let dbt connect to your warehouse, you'll need to generate a keyfile
 4. Click **Upload a Service Account JSON File** in settings.
 5. Select the JSON file you downloaded in [Generate BigQuery credentials](#generate-bigquery-credentials) and dbt Cloud will fill in all the necessary fields.
 6. Click **Test Connection**. This verifies that dbt Cloud can access your BigQuery account.
-7. Click **Next** if the test succeeded. If it failed, you might need to go back and regenerate your BigQuery credentials.
+7. Click **Next** if the test succeeded. If it fails, you might need to go back and regenerate your BigQuery credentials.
 
 
 ## Set up a dbt Cloud managed repository 
@@ -100,13 +100,10 @@ Now that you have a repository configured, you can initialize your project and s
 
 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 dbt 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` and click **Commit**. This creates the first commit to your managed repo and allows you to open a branch where you can add new dbt code.
+3. Make your initial commit by clicking **Commit and sync**. Use the commit message `initial commit` and click **Commit**. This creates the first commit to your managed repo and allows you to open a branch where you can add a 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 `dbt-tutorial.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.
+    - To confirm the success of the above command, navigate to the BigQuery Console and discover the newly created models.
 
 ## Build your first model
 1. Under **Version Control** on the left, click **Create branch**. You can name it `add-customers-model`. You need to create a new branch since the main branch is set to read-only mode.
@@ -174,7 +171,7 @@ select * from final
 
 6. 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.
+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.
 
 #### FAQs
 
@@ -282,7 +279,7 @@ Later, you can connect your business intelligence (BI) tools to these views and
 
 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`, 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}
 

From ee04d8be879bf0064f33b35c3b5ff552398e2d35 Mon Sep 17 00:00:00 2001
From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com>
Date: Thu, 19 Oct 2023 19:29:52 -0400
Subject: [PATCH 05/66] Update website/docs/quickstarts/bigquery-qs.md

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

diff --git a/website/docs/quickstarts/bigquery-qs.md b/website/docs/quickstarts/bigquery-qs.md
index 18086e9cbfb..63076a334ec 100644
--- a/website/docs/quickstarts/bigquery-qs.md
+++ b/website/docs/quickstarts/bigquery-qs.md
@@ -88,7 +88,7 @@ In order to let dbt connect to your warehouse, you'll need to generate a keyfile
 4. Click **Upload a Service Account JSON File** in settings.
 5. Select the JSON file you downloaded in [Generate BigQuery credentials](#generate-bigquery-credentials) and dbt Cloud will fill in all the necessary fields.
 6. Click **Test Connection**. This verifies that dbt Cloud can access your BigQuery account.
-7. Click **Next** if the test succeeded. If it fails, you might need to go back and regenerate your BigQuery credentials.
+7. Click **Next** if the test succeeds. If it fails, you might need to go back and regenerate your BigQuery credentials.
 
 
 ## Set up a dbt Cloud managed repository 

From 237688cf0adce26c61453d0bb92aeb3005852700 Mon Sep 17 00:00:00 2001
From: MishchenkoYuriy <135635368+MishchenkoYuriy@users.noreply.github.com>
Date: Fri, 20 Oct 2023 08:00:29 +0600
Subject: [PATCH 06/66] Update incremental-models.md

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

diff --git a/website/docs/docs/build/incremental-models.md b/website/docs/docs/build/incremental-models.md
index 07a571cd4db..3a597499f04 100644
--- a/website/docs/docs/build/incremental-models.md
+++ b/website/docs/docs/build/incremental-models.md
@@ -390,7 +390,7 @@ models:
       # `DBT_INTERNAL_DEST` and `DBT_INTERNAL_SOURCE` are the standard aliases for the target table and temporary table, respectively, during an incremental run using the merge strategy. 
 ```
 
-Alternatively, here are the same same configurations configured within a model file:
+Alternatively, here are the same configurations configured within a model file:
 
 ```sql
 -- in models/my_incremental_model.sql

From a6af0075750229372e9ee5ab9ce8a47fd10ef072 Mon Sep 17 00:00:00 2001
From: Kyle Coapman <kyle.d.coapman@gmail.com>
Date: Fri, 20 Oct 2023 12:49:00 -0400
Subject: [PATCH 07/66] add initial FAQ for BQ OAuth related to Google Drive
 scope

---
 .../docs/cloud/manage-access/set-up-bigquery-oauth.md  |  4 ++++
 website/docs/faqs/Warehouse/bq-oauth-drive-scope.md    | 10 ++++++++++
 2 files changed, 14 insertions(+)
 create mode 100644 website/docs/faqs/Warehouse/bq-oauth-drive-scope.md

diff --git a/website/docs/docs/cloud/manage-access/set-up-bigquery-oauth.md b/website/docs/docs/cloud/manage-access/set-up-bigquery-oauth.md
index 1b8f9ea7357..87018b14d56 100644
--- a/website/docs/docs/cloud/manage-access/set-up-bigquery-oauth.md
+++ b/website/docs/docs/cloud/manage-access/set-up-bigquery-oauth.md
@@ -74,3 +74,7 @@ You will then be redirected to BigQuery and asked to approve the drive, cloud pl
 <Lightbox src="/img/docs/dbt-cloud/using-dbt-cloud/dbt-cloud-enterprise/BQ-auth/BQ-access.png" title="BigQuery access request" />
 
 Select **Allow**. This redirects you back to dbt Cloud. You should now be an authenticated BigQuery user, ready to use the dbt Cloud IDE.
+
+## FAQs
+
+<FAQ path="Warehouse/bg-oauth-drive-scope"/>
diff --git a/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md b/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
new file mode 100644
index 00000000000..fdaefa82f63
--- /dev/null
+++ b/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
@@ -0,0 +1,10 @@
+---
+title: Why does the BigQuery OAuth application require scopes to Google Drive
+description: "Use this quick explainer to learn more about scopes in the BigQuery OAuth applicaton"
+sidebar_label: "BigQuery OAuth GDrive Scopes"
+id: bq-oauth-drive-scope
+---
+
+BigQuery supports external tables over both personal Drive files and shared files. For more information on Drive, see Drive training and help.
+
+You can read more about this in the [BigQuery docs](https://cloud.google.com/bigquery/docs/external-data-drive) on this particular topics.
\ No newline at end of file

From 8178b1dec5885a21c1a66c70ccc2a9c7f03b086b Mon Sep 17 00:00:00 2001
From: Jason Brownstein <79863718+jsnb-devoted@users.noreply.github.com>
Date: Fri, 20 Oct 2023 17:08:01 -0700
Subject: [PATCH 08/66] Provide an example of meta in dbt_project (#2270)

## Description & motivation
<!---
Describe your changes, and why you're making them. Is this linked to an
open
issue, a pull request on dbt core, etc?

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).
-->
It took me a while to figure out why my `meta` tag wasn't being captured
in the dbt_project file. I needed it nested under the `config` block. I
think it would have helped if there was an example of that.

(I deleted all the checklists as it didn't seem like they were needed
for this PR)

---------

Co-authored-by: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com>
---
 website/docs/reference/resource-configs/meta.md | 15 +++++++++++++++
 1 file changed, 15 insertions(+)

diff --git a/website/docs/reference/resource-configs/meta.md b/website/docs/reference/resource-configs/meta.md
index aeff9ee6226..65c8b5f908e 100644
--- a/website/docs/reference/resource-configs/meta.md
+++ b/website/docs/reference/resource-configs/meta.md
@@ -278,4 +278,19 @@ select 1 as id
 ```
 
 </File>
+  
+### Assign owner in the dbt_project.yml as a config property
+
+<File name='models/my_model.sql'>
+
+```yml
+models:
+  jaffle_shop:
+      materialized: table
+      config:
+        meta:
+          owner: "@alice"
+```
+
+</File>
 

From c67fe695ffed82039625cdf3c32267b4e2b9f89c Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Sat, 21 Oct 2023 10:57:03 +0100
Subject: [PATCH 09/66] Update metricflow-commands.md

add gotcha
---
 website/docs/docs/build/metricflow-commands.md | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md
index 049b415d40e..041ce7a7d5e 100644
--- a/website/docs/docs/build/metricflow-commands.md
+++ b/website/docs/docs/build/metricflow-commands.md
@@ -6,11 +6,11 @@ sidebar_label: "MetricFlow commands"
 tags: [Metrics, Semantic Layer]
 ---
 
-Once you define metrics in your dbt project, you can query metrics, dimensions, dimension values, and validate your configs using the MetricFlow commands. 
+Once you define metrics in your dbt project, you can query metrics, dimensions, and dimension values, and validate your configs using the MetricFlow commands. 
 
 MetricFlow allows you to define and query metrics in your dbt project in the [dbt Cloud CLI](/docs/cloud/cloud-cli-installation), [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud), or [dbt Core](/docs/core/installation). To experience the power of the universal [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl) and dynamically query those metrics in downstream tools, you'll need a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account. 
 
-MetricFlow is compatible with Python versions 3.8, 3.9, 3.10 and 3.11.
+MetricFlow is compatible with Python versions 3.8, 3.9, 3.10, and 3.11.
 
 
 ## MetricFlow
@@ -25,7 +25,7 @@ MetricFlow is a dbt package that allows you to define and query metrics in your
 
 MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI. 
 
-A benefit to using the dbt Cloud CLI or dbt Cloud IDE is that you won't need to manage versioning &mdash; your dbt Cloud account will automatically manage the versioning for you.
+A benefit to using the dbt Cloud CLI or dbt Cloud IDE is that you won't need to manage versioning &mdash; your dbt Cloud account will automatically manage the versioning.
 
 </TabItem>
 
@@ -44,11 +44,11 @@ You can create metrics using MetricFlow in the dbt Cloud IDE. However, support f
 
 Use the dbt Cloud CLI for the experience in defining and querying metrics in your dbt project on dbt Cloud or dbt Core with MetricFlow. 
 
-A benefit to using the dbt Cloud CLI or dbt Cloud IDE is that you won't need to manage versioning — your dbt Cloud account will automatically manage the versioning for you.
+A benefit to using the dbt Cloud CLI or dbt Cloud IDE is that you won't need to manage versioning — your dbt Cloud account will automatically manage the versioning.
 :::
 
 
-You can install [MetricFlow](https://github.com/dbt-labs/metricflow#getting-started) from [PyPI](https://pypi.org/project/dbt-metricflow/). You need to use `pip` to instal MetricFlow on Windows or Linux operating systems:
+You can install [MetricFlow](https://github.com/dbt-labs/metricflow#getting-started) from [PyPI](https://pypi.org/project/dbt-metricflow/). You need to use `pip` to install MetricFlow on Windows or Linux operating systems:
 
 1. Create or activate your virtual environment`python -m venv venv`
 2. Run `pip install dbt-metricflow`
@@ -60,6 +60,7 @@ You can install [MetricFlow](https://github.com/dbt-labs/metricflow#getting-star
 
 </Tabs>
 
+Something to note, MetricFlow `mf` commands return an error if you have a Metafont latex package installed. To run `mf` commands, uninstall the package.
 
 ## MetricFlow commands
 
@@ -552,3 +553,4 @@ Keep in mind that modifying your shell configuration files can have an impact on
 </details>
 
 </details>
+

From 99dccf8523c08b91462ee39b526fe3b6a8a3a493 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirna.wong@fishtownanalytics.com>
Date: Mon, 23 Oct 2023 10:44:22 +0100
Subject: [PATCH 10/66] add loom and image

---
 website/docs/docs/build/about-metricflow.md   |  20 ++----------------
 website/docs/docs/build/semantic-models.md    |   2 ++
 website/docs/docs/build/sl-getting-started.md |   1 +
 .../docs/use-dbt-semantic-layer/dbt-sl.md     |  12 +++++------
 .../use-dbt-semantic-layer/quickstart-sl.md   |   1 +
 .../semantic-layer/semantic_foundation.jpg    | Bin 0 -> 824229 bytes
 6 files changed, 12 insertions(+), 24 deletions(-)
 create mode 100644 website/static/img/docs/dbt-cloud/semantic-layer/semantic_foundation.jpg

diff --git a/website/docs/docs/build/about-metricflow.md b/website/docs/docs/build/about-metricflow.md
index 4910f12a792..d76715c46a1 100644
--- a/website/docs/docs/build/about-metricflow.md
+++ b/website/docs/docs/build/about-metricflow.md
@@ -37,24 +37,6 @@ MetricFlow abides by these principles:
 - **Simplicity with gradual complexity:** Approach MetricFlow using familiar data modeling concepts.
 - **Performance and efficiency**: Optimize performance while supporting centralized data engineering and distributed logic ownership.
 
-<!--MetricFlow is a SQL query generation engine that helps you create metrics by constructing appropriate queries for different granularities and dimensions that are useful for various business applications. 
-
-- It uses YAML files to define a semantic graph, which maps language to data. This graph consists of , which serve as data entry points, and [, which are functions used to create new quantitative indicators.
-
-- MetricFlow is a  () and available on dbt versions 1.6 and higher. 
-
-- MetricFlow, as a part of the dbt Semantic Layer, allows organizations to define company metrics logic through YAML abstractions, as described in the following sections.
-
-- To query metrics dimensions, dimension values, and validate your configurations; install MetricFlow in 
-
-MetricFlow has the following principles:
-
-- **Flexible, but complete** &mdash;  Ability to create any metric on any data model by defining logic in flexible abstractions.
-- **Don't Repeat Yourself (DRY)** &mdash; Avoid repetition by allowing metric definitions to be enabled whenever possible.
-- **Simple with progressive complexity** &mdash; Make MetricFlow approachable by relying on known concepts and structures in data modeling. 
-- **Performant and efficient** &mdash; Allow for performance optimizations in centralized data engineering while still enabling distributed definition and ownership of logic.
--->
-
 ### Semantic graph 
 
 We're introducing a new concept: a "semantic graph". It's the relationship between semantic models and YAML configurations that creates a data landscape for building metrics. You can think of it like a map, where tables are like locations, and the connections between them (edges) are like roads. Although it's under the hood, the semantic graph is a subset of the <Term id="dag" />, and you can see the semantic models as nodes on the DAG.
@@ -73,6 +55,8 @@ For a semantic model, there are three main pieces of metadata:
 * [Dimensions](/docs/build/dimensions) &mdash; These are the ways you want to group or slice/dice your metrics.
 * [Measures](/docs/build/measures) &mdash; The aggregation functions that give you a numeric result and can be used to create your metrics.
 
+<Lightbox src="/img/docs/dbt-cloud/semantic-layer/semantic_foundation.jpg" width="70%" title="A semantic model is made up of different components: Entities, Measures, and Dimensions."/>
+
 ### Metrics 
 
 Metrics, which is a key concept, are functions that combine measures, constraints, or other mathematical functions to define new quantitative indicators. MetricFlow uses measures and various aggregation types, such as average, sum, and count distinct, to create metrics.  Dimensions add context to metrics and without them, a metric is simply a number for all time. You can define metrics in the same YAML files as your semantic models, or create a new file.
diff --git a/website/docs/docs/build/semantic-models.md b/website/docs/docs/build/semantic-models.md
index 226c138b545..118e93a26b1 100644
--- a/website/docs/docs/build/semantic-models.md
+++ b/website/docs/docs/build/semantic-models.md
@@ -18,6 +18,8 @@ Semantic models are the foundation for data definition in MetricFlow, which powe
 - Configure semantic models in a YAML file within your dbt project directory.
 - Organize them under a `metrics:` folder or within project sources as needed. 
 
+<Lightbox src="/img/docs/dbt-cloud/semantic-layer/semantic_foundation.jpg" width="70%" title="A semantic model is made up of different components: Entities, Measures, and Dimensions."/>
+
 Semantic models have 6 components and this page explains the definitions with some examples:
 
 | Component | Description | Type |
diff --git a/website/docs/docs/build/sl-getting-started.md b/website/docs/docs/build/sl-getting-started.md
index 34c3479cbc0..64cec11c302 100644
--- a/website/docs/docs/build/sl-getting-started.md
+++ b/website/docs/docs/build/sl-getting-started.md
@@ -94,3 +94,4 @@ The dbt Semantic Layer is proprietary, however, some components of the dbt Seman
 - [Build your metrics](/docs/build/build-metrics-intro)
 - [Get started with the dbt Semantic Layer](/docs/use-dbt-semantic-layer/quickstart-sl)
 - [Available integrations](/docs/use-dbt-semantic-layer/avail-sl-integrations)
+- Demo on [how to define and query metrics with MetricFlow](https://www.loom.com/share/60a76f6034b0441788d73638808e92ac?sid=861a94ac-25eb-4fd8-a310-58e159950f5a)
diff --git a/website/docs/docs/use-dbt-semantic-layer/dbt-sl.md b/website/docs/docs/use-dbt-semantic-layer/dbt-sl.md
index 8868c68ed20..8c78d556a67 100644
--- a/website/docs/docs/use-dbt-semantic-layer/dbt-sl.md
+++ b/website/docs/docs/use-dbt-semantic-layer/dbt-sl.md
@@ -43,18 +43,18 @@ plan="dbt Cloud Team or Enterprise"
     link="/docs/use-dbt-semantic-layer/setup-sl"
     icon="dbt-bit"/>
 
-<Card
-    title="Available integrations"
-    body="Review a wide range of partners you can integrate and query with the dbt Semantic Layer."
-    link="/docs/use-dbt-semantic-layer/avail-sl-integrations"
-    icon="dbt-bit"/>
-
 <Card
     title="Architecture"
     body="Learn about the powerful components that make up the dbt Semantic Layer."
     link="/docs/use-dbt-semantic-layer/sl-architecture"
     icon="dbt-bit"/>
 
+<Card
+    title="Available integrations"
+    body="Review a wide range of partners you can integrate and query with the dbt Semantic Layer."
+    link="/docs/use-dbt-semantic-layer/avail-sl-integrations"
+    icon="dbt-bit"/>
+
 <Card
     title="dbt Semantic Layer APIs"
     body="Use the dbt Semantic Layer APIs to query metrics in downstream tools for consistent, reliable data metrics."
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 d0e5df18d94..cca899d227e 100644
--- a/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md
+++ b/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md
@@ -108,6 +108,7 @@ The dbt Semantic Layer is proprietary, however, some components of the dbt Seman
 - [Build your metrics](/docs/build/build-metrics-intro)
 - [Set up dbt Semantic Layer](docs/use-dbt-semantic-layer/setup-dbt-sl)
 - [Available integrations](/docs/use-dbt-semantic-layer/avail-sl-integrations)
+- Demo on [how to define and query metrics with MetricFlow](https://www.loom.com/share/60a76f6034b0441788d73638808e92ac?sid=861a94ac-25eb-4fd8-a310-58e159950f5a)
 
 </VersionBlock>
 
diff --git a/website/static/img/docs/dbt-cloud/semantic-layer/semantic_foundation.jpg b/website/static/img/docs/dbt-cloud/semantic-layer/semantic_foundation.jpg
new file mode 100644
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HcmV?d00001


From 753a660183e9360d0fe5769a9a1f30efc518c2aa Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Mon, 23 Oct 2023 10:58:57 +0100
Subject: [PATCH 11/66] Update configure-cloud-cli.md

add env var instructions per slack: https://getdbt.slack.com/archives/C03SAHKKG2Z/p1697708585299879

cc @greg-mckeon
---
 website/docs/docs/cloud/configure-cloud-cli.md | 17 ++++++++++++++---
 1 file changed, 14 insertions(+), 3 deletions(-)

diff --git a/website/docs/docs/cloud/configure-cloud-cli.md b/website/docs/docs/cloud/configure-cloud-cli.md
index f13a4d267c3..4473a80cb18 100644
--- a/website/docs/docs/cloud/configure-cloud-cli.md
+++ b/website/docs/docs/cloud/configure-cloud-cli.md
@@ -16,8 +16,8 @@ import CloudCLIFlag from '/snippets/_cloud-cli-flag.md';
 - You must set up a project in dbt Cloud.
   - **Note** &mdash; If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
 - You must have your [personal development credentials](/docs/dbt-cloud-environments#set-developer-credentials) set for that project. The dbt Cloud CLI will use these credentials, stored securely in dbt Cloud, to communicate with your data platform.
-- You must [enroll](/docs/dbt-versions/experimental-features) in the dbt Cloud beta features. 
-	- To enroll, navigate to your **Profile Settings** and enable the **Beta** flag under **Experimental Features**.
+- You must [enroll](/docs/dbt-versions/experimental-features) in the dbt Cloud beta features.
+  - To enroll, navigate to your **Profile Settings** and enable the **Beta** flag under **Experimental Features**.
 - You must be on dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/dbt-versions/upgrade-core-in-cloud) to upgrade.
 
 ## Configure the dbt Cloud CLI
@@ -78,12 +78,23 @@ 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`.
 
+### Set environment variables
+
+To set `DBT_ENVIRONMENT` in the dbt Cloud CLI for your dbt project:
+
+1. Select the gear icon on the upper right of the page.
+2. Then select **Profile Settings**, then **Credentials**.
+3. Click on your project and scroll to the **Environment Variables** section.
+4. Click **Edit** on the lower right and then set the user-level environment variables.  
+
+If you're receiving an `Env var required but not provided: 'DBT_ENVIRONMENT'` error, you may be unintentionally running dbt Core. You can verify this by running `which dbt` to confirm if the output refers to the dbt Cloud CLI.
+
 ## Use the dbt Cloud CLI
 
 - The dbt Cloud CLI shares the same set of [dbt commands](/reference/dbt-commands) as dbt Core and processes the commands you invoke. 
 - It allows you to use automatic deferral of build artifacts to your Cloud project's production environment.
 - It also supports [project dependencies](/docs/collaborate/govern/project-dependencies), which allows you to depend on another project using the metadata service in dbt Cloud. 
-  - Project dependencies instantly connects to and references (or  `ref`) public models defined in other projects. This means you don't need to execute or analyze these upstream models yourself. Instead, you treat them as an API that returns a dataset.
+  - Project dependencies instantly connect to and reference (or  `ref`) public models defined in other projects. This means you don't need to execute or analyze these upstream models yourself. Instead, you treat them as an API that returns a dataset.
 
 :::tip Use the <code>--help</code> flag
 As a tip, most command-line tools have a `--help` flag to show available commands and arguments. Use the `--help` flag with dbt in two ways:

From e547c68d98a71cd705e3674adff79c50f47fbae7 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Mon, 23 Oct 2023 11:11:28 +0100
Subject: [PATCH 12/66] Update website/docs/docs/cloud/configure-cloud-cli.md

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

diff --git a/website/docs/docs/cloud/configure-cloud-cli.md b/website/docs/docs/cloud/configure-cloud-cli.md
index 4473a80cb18..2c3d1c43395 100644
--- a/website/docs/docs/cloud/configure-cloud-cli.md
+++ b/website/docs/docs/cloud/configure-cloud-cli.md
@@ -80,7 +80,7 @@ Once you install the dbt Cloud CLI, you need to configure it to connect to a dbt
 
 ### Set environment variables
 
-To set `DBT_ENVIRONMENT` in the dbt Cloud CLI for your dbt project:
+To set environment variables in the dbt Cloud CLI for your dbt project:
 
 1. Select the gear icon on the upper right of the page.
 2. Then select **Profile Settings**, then **Credentials**.

From f2b8da132501b6154e68539f4fc03d2c788ca5c5 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Mon, 23 Oct 2023 16:10:42 +0100
Subject: [PATCH 13/66] Update configure-cloud-cli.md

remove text per Greg
---
 website/docs/docs/cloud/configure-cloud-cli.md | 2 --
 1 file changed, 2 deletions(-)

diff --git a/website/docs/docs/cloud/configure-cloud-cli.md b/website/docs/docs/cloud/configure-cloud-cli.md
index 2c3d1c43395..c03f638c9b4 100644
--- a/website/docs/docs/cloud/configure-cloud-cli.md
+++ b/website/docs/docs/cloud/configure-cloud-cli.md
@@ -87,8 +87,6 @@ To set environment variables in the dbt Cloud CLI for your dbt project:
 3. Click on your project and scroll to the **Environment Variables** section.
 4. Click **Edit** on the lower right and then set the user-level environment variables.  
 
-If you're receiving an `Env var required but not provided: 'DBT_ENVIRONMENT'` error, you may be unintentionally running dbt Core. You can verify this by running `which dbt` to confirm if the output refers to the dbt Cloud CLI.
-
 ## Use the dbt Cloud CLI
 
 - The dbt Cloud CLI shares the same set of [dbt commands](/reference/dbt-commands) as dbt Core and processes the commands you invoke. 

From 85760203f0f63620f2994c56a49df3f22feb9d23 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Mon, 23 Oct 2023 20:39:40 +0100
Subject: [PATCH 14/66] Update cloud-cli-installation.md

Reorder install steps to avoid confusion
---
 .../docs/docs/cloud/cloud-cli-installation.md | 112 +++++++++---------
 1 file changed, 56 insertions(+), 56 deletions(-)

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index 6d3060d9c23..a2ee6cdc76c 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -32,62 +32,6 @@ You must be on dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/db
 You can install the dbt Cloud CLI on the command line by using one of these methods:
 
 <Tabs queryString="install">
-
-<TabItem value="pip" label="Existing dbt Core users (pip)">
-
-:::info Use native packages or a virtual environment to avoid overriding dbt Core
-
-Installing the dbt Cloud CLI with pip replaces dbt Core. This change can be avoided by using the native install method and configuring your PATH or by creating a new virtual environment.
-
-Otherwise, to switch back to dbt Core, uninstall the dbt Cloud CLI and follow the dbt Core installation instructions.
-
-::: 
-
-Before installing the dbt Cloud CLI, make sure you have Python installed and your virtual environment venv or pyenv . If you already have a Python environment configured, you can skip to the [pip installation step](#install-dbt-cloud-cli-in-pip).
-
-### Install a virtual environment
-
-We recommend using virtual environments (venv) to namespace `cloud-cli`.
-
-1. Create a new venv:
-   ```shell
-   python3 -m venv dbt-cloud
-    ```
-
-2. Activate the virtual environment each time you create a shell window or session:
-  ```shell   
-  source dbt-cloud/bin/activate         # activate the environment for Mac and Linux OR
-  dbt-env\Scripts\activate            # activate the environment for Windows
-  ```
-
-3. (Mac and Linux only) Create an alias to activate your dbt environment with every new shell window or session. You can add the following to your shell's configuration file (for example, $HOME/.bashrc, $HOME/.zshrc) while replacing `<PATH_TO_VIRTUAL_ENV_CONFIG>` with the path to your virtual environment configuration:
-   ```shell
-   alias env_dbt='source <PATH_TO_VIRTUAL_ENV_CONFIG>/bin/activate'
-   ```
-   
-### Install dbt Cloud CLI in pip
-
-1. (Optional) If you already have dbt Core installed, this installation will override that package. Note your dbt Core version in case you need to reinstall it later:
-
-  ```bash
-  dbt --version
-  ```
-
-2. Make sure you're in your virtual environment and run the following command to install the dbt Cloud CLI:
-
-  ```bash
-  pip3 install dbt
-  ```
-
-3. (Optional) To revert back to dbt Core, first uninstall both the dbt Cloud CLI and dbt Core
-4. Reinstall dbt Core using the version from Step 2.
-
-  ```bash
-  pip3 uninstall dbt-core dbt
-  pip3 install dbt-core==VERSION
-  ```
-
-</TabItem>
 	
 <TabItem value="brew" label="macOS (brew)">
 
@@ -158,6 +102,62 @@ Advanced users can configure multiple projects to use the same Cloud CLI executa
 
 </TabItem>
 
+<TabItem value="pip" label="Existing dbt Core users (pip)">
+
+:::info Use native packages or a virtual environment to avoid overriding dbt Core
+
+Installing the dbt Cloud CLI with pip replaces dbt Core. This change can be avoided by using the native install method and configuring your PATH or by creating a new virtual environment.
+
+Otherwise, to switch back to dbt Core, uninstall the dbt Cloud CLI and follow the dbt Core installation instructions.
+
+::: 
+
+Before installing the dbt Cloud CLI, make sure you have Python installed and your virtual environment venv or pyenv . If you already have a Python environment configured, you can skip to the [pip installation step](#install-dbt-cloud-cli-in-pip).
+
+### Install a virtual environment
+
+We recommend using virtual environments (venv) to namespace `cloud-cli`.
+
+1. Create a new venv:
+   ```shell
+   python3 -m venv dbt-cloud
+    ```
+
+2. Activate the virtual environment each time you create a shell window or session:
+  ```shell   
+  source dbt-cloud/bin/activate         # activate the environment for Mac and Linux OR
+  dbt-env\Scripts\activate            # activate the environment for Windows
+  ```
+
+3. (Mac and Linux only) Create an alias to activate your dbt environment with every new shell window or session. You can add the following to your shell's configuration file (for example, $HOME/.bashrc, $HOME/.zshrc) while replacing `<PATH_TO_VIRTUAL_ENV_CONFIG>` with the path to your virtual environment configuration:
+   ```shell
+   alias env_dbt='source <PATH_TO_VIRTUAL_ENV_CONFIG>/bin/activate'
+   ```
+   
+### Install dbt Cloud CLI in pip
+
+1. (Optional) If you already have dbt Core installed, this installation will override that package. Note your dbt Core version in case you need to reinstall it later:
+
+  ```bash
+  dbt --version
+  ```
+
+2. Make sure you're in your virtual environment and run the following command to install the dbt Cloud CLI:
+
+  ```bash
+  pip3 install dbt
+  ```
+
+3. (Optional) To revert back to dbt Core, first uninstall both the dbt Cloud CLI and dbt Core
+4. Reinstall dbt Core using the version from Step 2.
+
+  ```bash
+  pip3 uninstall dbt-core dbt
+  pip3 install dbt-core==VERSION
+  ```
+
+</TabItem>
+
 </Tabs>
 
 

From ee1c27762d92639bfb4b06241264eb3506a8dc8f Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Mon, 23 Oct 2023 20:50:27 +0100
Subject: [PATCH 15/66] Update cloud-cli-installation.md

Reorder update steps (forgot to create a branch for previous change)
---
 website/docs/docs/cloud/cloud-cli-installation.md | 15 ++++++++-------
 1 file changed, 8 insertions(+), 7 deletions(-)

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index a2ee6cdc76c..5c0d6ad543e 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -169,13 +169,6 @@ During the public preview period, we recommend updating before filing a bug repo
 
 
 <Tabs>
-<TabItem value="existing" label="Existing dbt Core users (pip)">
-
-To update:
-- Make sure you're in your virtual environment
-- Run `pip install --upgrade dbt`.
-	
-</TabItem>
 
 <TabItem value="mac" label="macOS (brew)">
 
@@ -195,6 +188,14 @@ To update, follow the same process explained in [Windows](/docs/cloud/cloud-cli-
 
 </TabItem>
 
+<TabItem value="existing" label="Existing dbt Core users (pip)">
+
+To update:
+- Make sure you're in your virtual environment
+- Run `pip install --upgrade dbt`.
+	
+</TabItem>
+
 </Tabs>
 
 

From c98373bd2f41ae032cbf58f568760be407b979c5 Mon Sep 17 00:00:00 2001
From: rpourzand <rpourzan@gmail.com>
Date: Mon, 23 Oct 2023 15:21:09 -0700
Subject: [PATCH 16/66] Update gsheets.md

I added a known limitation with Google apps that we saw during our workshop a lot! Once folks had only 1 user in chrome, it worked fine.
---
 website/docs/docs/use-dbt-semantic-layer/gsheets.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/website/docs/docs/use-dbt-semantic-layer/gsheets.md b/website/docs/docs/use-dbt-semantic-layer/gsheets.md
index 2140becc9d8..7c5f0b6382c 100644
--- a/website/docs/docs/use-dbt-semantic-layer/gsheets.md
+++ b/website/docs/docs/use-dbt-semantic-layer/gsheets.md
@@ -31,6 +31,8 @@ When querying your data with Google Sheets:
 
 - It returns the data to the cell you have clicked on.
 - The custom menu operation has a timeout limit of six (6) minutes.
+- If you are logged into Chrome with a different Google user than the one you authenticated the Add-On with, it may not work. We recommend you are logged in with one Google profile at a time when using this extension.
+  
 
 ## Custom menu functions
 

From 28c28c81fb9b6ad380effb07a48675be4f181880 Mon Sep 17 00:00:00 2001
From: rpourzand <rpourzan@gmail.com>
Date: Mon, 23 Oct 2023 15:30:18 -0700
Subject: [PATCH 17/66] Update sl-partner-integration-guide.md

Adding a note on best practices for putting metadata in API requests for integration partners
---
 .../sl-partner-integration-guide.md           | 27 ++++++++++++-------
 1 file changed, 18 insertions(+), 9 deletions(-)

diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
index c41469bf08a..ad341eb4eff 100644
--- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
+++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
@@ -33,6 +33,14 @@ The dbt Semantic Layer APIs authenticate with `environmentId`, `SERVICE_TOKEN`,
 
 We recommend you provide users with separate input fields with these components for authentication (dbt Cloud will surface these parameters for the user). 
 
+### Exposing Metadata to dbt Labs 
+
+When building an integration, we recommend you expose certain metadata in the request for analytics purposes. Among other items, it is helpful to have the following: 
+
+- Your application's name (e.g., Tableau)
+- The user email of the person querying from your application
+- The version of dbt they are on.
+
 
 ## Best practices on exposing metrics
 
@@ -85,7 +93,7 @@ Allow users to query either one metric alone without dimensions or multiple metr
 
 - Allow toggling between metrics/dimensions seamlessly.
 
-- Be clear on exposing what dimensions are queryable with what metrics and hide things that don’t apply, and vice versa.
+- Be clear on exposing what dimensions are queryable with what metrics and hide things that don’t apply(our APIs provide calls for you to get relevant dimensions for metrics, and vice versa).
 
 - Only expose time granularities (monthly, daily, yearly) that match the available metrics. 
   * For example, if a dbt model and its resulting semantic model have a monthly granularity, make sure querying data with a 'daily' granularity isn't available to the user. Our APIs have functionality that will help you surface the correct granularities
@@ -109,6 +117,15 @@ For better analysis, it's best to have the context of the metrics close to where
 
 - Allow for creating other metadata that’s useful for the metric. We can provide some of this information in our configuration (Display name, Default Granularity for View, Default Time range), but there may be other metadata that your tool wants to provide to make the metric richer.
 
+### Transparency and Using Compile
+
+For transparency and additional context, we recommend you have an easy way for the user to obtain the SQL that MetricFlow generates. Depending on what API you are using, you can do this by using our compile parameter. This is incredibly powerful because we want to be very transparent to the user about what we're doing and do not want to be a black box. This would be mostly beneficial to a technical user.
+
+
+### Where filters and Optimization
+
+In the cases where our APIs support either a string or a filter list for the `where` clause, we always recommend that your application utilizes the filter list in order to gain maximum pushdown benefits. The `where` string may be more intuitive for users writing queries during testing, but it will not have the performance benefits of the filter list in a production environment.
+
 ## Example stages of an integration
 
 These are recommendations on how to evolve a Semantic Layer integration and not a strict runbook.
@@ -136,14 +153,6 @@ These are recommendations on how to evolve a Semantic Layer integration and not
 * Querying dimensions without metrics and other more advanced querying functionality
 * Suggest metrics to users based on teams/identity, and so on.
 
-### A note on transparency and using compile
-
-For transparency and additional context, we recommend you have an easy way for the user to obtain the SQL that MetricFlow generates. Depending on what API you are using, you can do this by using our compile parameter. This is incredibly powerful because we want to be very transparent to the user about what we're doing and do not want to be a black box. This would be mostly beneficial to a technical user.
-
-
-### A note on where filters
-
-In the cases where our APIs support either a string or a filter list for the `where` clause, we always recommend that your application utilizes the filter list in order to gain maximum pushdown benefits. The `where` string may be more intuitive for users writing queries during testing, but it will not have the performance benefits of the filter list in a production environment.
 
 ## Related docs
 

From a24dc9c8994ae25fcfa39c60df76d0de8194ee20 Mon Sep 17 00:00:00 2001
From: Anks Su <6273915+anksu2024@users.noreply.github.com>
Date: Mon, 23 Oct 2023 20:39:16 -0700
Subject: [PATCH 18/66] Update bigquery-qs.md

Updated the heading to reflect what the section does.
---
 website/docs/quickstarts/bigquery-qs.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/quickstarts/bigquery-qs.md b/website/docs/quickstarts/bigquery-qs.md
index 63076a334ec..93148f41f40 100644
--- a/website/docs/quickstarts/bigquery-qs.md
+++ b/website/docs/quickstarts/bigquery-qs.md
@@ -95,7 +95,7 @@ In order to let dbt connect to your warehouse, you'll need to generate a keyfile
 <Snippet path="tutorial-managed-repo" />
 
 
-## Initialize your dbt project​ and start developing
+## Initialize your dbt project
 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.

From 7cf098d0ffe03bdadd8690489372e0aa8cf69822 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 09:50:17 +0100
Subject: [PATCH 19/66] Update
 website/docs/docs/use-dbt-semantic-layer/gsheets.md

---
 website/docs/docs/use-dbt-semantic-layer/gsheets.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/use-dbt-semantic-layer/gsheets.md b/website/docs/docs/use-dbt-semantic-layer/gsheets.md
index 7c5f0b6382c..ee391c91b70 100644
--- a/website/docs/docs/use-dbt-semantic-layer/gsheets.md
+++ b/website/docs/docs/use-dbt-semantic-layer/gsheets.md
@@ -31,7 +31,7 @@ When querying your data with Google Sheets:
 
 - It returns the data to the cell you have clicked on.
 - The custom menu operation has a timeout limit of six (6) minutes.
-- If you are logged into Chrome with a different Google user than the one you authenticated the Add-On with, it may not work. We recommend you are logged in with one Google profile at a time when using this extension.
+- If you're using this extension, make sure you're signed into Chrome with the same Google profile you used to set up the Add-On. Log in with one Google profile at a time as using multiple Google profiles at once might cause issues.
   
 
 ## Custom menu functions

From 13483b987ca6398744fe45bd32d3d8af47de476b Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirna.wong@fishtownanalytics.com>
Date: Tue, 24 Oct 2023 10:21:49 +0100
Subject: [PATCH 20/66] adding klipfolio

---
 .../avail-sl-integrations.md                       |  1 -
 website/snippets/_sl-partner-links.md              | 14 ++++++++++++++
 website/static/img/icons/Klipfolio-badge.svg       |  9 +++++++++
 website/static/img/icons/white/Klipfolio-badge.svg |  9 +++++++++
 4 files changed, 32 insertions(+), 1 deletion(-)
 create mode 100644 website/static/img/icons/Klipfolio-badge.svg
 create mode 100644 website/static/img/icons/white/Klipfolio-badge.svg

diff --git a/website/docs/docs/use-dbt-semantic-layer/avail-sl-integrations.md b/website/docs/docs/use-dbt-semantic-layer/avail-sl-integrations.md
index a398ace164e..fb0136e29d8 100644
--- a/website/docs/docs/use-dbt-semantic-layer/avail-sl-integrations.md
+++ b/website/docs/docs/use-dbt-semantic-layer/avail-sl-integrations.md
@@ -25,7 +25,6 @@ import AvailIntegrations from '/snippets/_sl-partner-links.md';
 You can also integrate the following tools with the dbt Semantic Layer:
 - [Push.ai](https://docs.push.ai/semantic-layer-integrations/dbt-semantic-layer)
 - [Delphi](delphihq.com)
-- KlipFolio Power Metrics - Documentation coming soon
 
 ### Custom integration
 
diff --git a/website/snippets/_sl-partner-links.md b/website/snippets/_sl-partner-links.md
index 59e5b54b7c0..f8ad6477844 100644
--- a/website/snippets/_sl-partner-links.md
+++ b/website/snippets/_sl-partner-links.md
@@ -28,6 +28,20 @@ The following tools integrate with the dbt Semantic Layer:
     </a>
   </div>
 
+<div className="card-container">
+  <Card
+    title="KlipFolio Power Metrics"
+    body="Refer to KlipFolio's documentation to learn how to connect, and deliver a streamlined metrics catalog to your business users."
+    link="https://support.klipfolio.com/hc/en-us/articles/18164546900759-PowerMetrics-Adding-dbt-Semantic-Layer-metrics"
+    icon="klipfolio-badge"/>
+    <a href="https://support.klipfolio.com/hc/en-us/articles/18164546900759-PowerMetrics-Adding-dbt-Semantic-Layer-metrics"
+    className="external-link"
+      target="_blank"
+      rel="noopener noreferrer">
+      <i className="fa fa-external-link"></i>
+    </a>
+</div>
+
 <div className="card-container">
   <Card
     title="Lightdash"
diff --git a/website/static/img/icons/Klipfolio-badge.svg b/website/static/img/icons/Klipfolio-badge.svg
new file mode 100644
index 00000000000..bdd583bd3a1
--- /dev/null
+++ b/website/static/img/icons/Klipfolio-badge.svg
@@ -0,0 +1,9 @@
+<?xml version="1.0" encoding="utf-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" data-name="Layer 1" id="Layer_1" viewBox="0 0 35 35">
+  <defs>
+    <style>.cls-1{fill:#ed1c24;}</style>
+  </defs>
+  <title>klipfolio-badge</title>
+  <path d="M13.5,21a.84.84,0,0,1,.85-.83H19a.84.84,0,0,1,.85.83V31.18c0,.46.19.51.43.11l6.19-10.42a1.64,1.64,0,0,1,1.28-.72h4.7c.47,0,.63.31.37.69l-6.3,9a1.66,1.66,0,0,0-.14,1.45l7.19,16.39a.51.51,0,0,1-.51.76H28.18A1.33,1.33,0,0,1,27,47.72L22.55,36.21c-.17-.43-.52-.47-.78-.09l-1.45,2.06a3.12,3.12,0,0,0-.48,1.52v8a.84.84,0,0,1-.85.83H14.35a.84.84,0,0,1-.85-.83Z" transform="translate(-13.5 -13.5)"/>
+  <path class="cls-1" d="M46.88,26.59A1,1,0,0,0,48.5,26V14.68a1.18,1.18,0,0,0-1.18-1.18H36a1,1,0,0,0-.64,1.57Z" transform="translate(-13.5 -13.5)"/>
+</svg>
\ No newline at end of file
diff --git a/website/static/img/icons/white/Klipfolio-badge.svg b/website/static/img/icons/white/Klipfolio-badge.svg
new file mode 100644
index 00000000000..bdd583bd3a1
--- /dev/null
+++ b/website/static/img/icons/white/Klipfolio-badge.svg
@@ -0,0 +1,9 @@
+<?xml version="1.0" encoding="utf-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" data-name="Layer 1" id="Layer_1" viewBox="0 0 35 35">
+  <defs>
+    <style>.cls-1{fill:#ed1c24;}</style>
+  </defs>
+  <title>klipfolio-badge</title>
+  <path d="M13.5,21a.84.84,0,0,1,.85-.83H19a.84.84,0,0,1,.85.83V31.18c0,.46.19.51.43.11l6.19-10.42a1.64,1.64,0,0,1,1.28-.72h4.7c.47,0,.63.31.37.69l-6.3,9a1.66,1.66,0,0,0-.14,1.45l7.19,16.39a.51.51,0,0,1-.51.76H28.18A1.33,1.33,0,0,1,27,47.72L22.55,36.21c-.17-.43-.52-.47-.78-.09l-1.45,2.06a3.12,3.12,0,0,0-.48,1.52v8a.84.84,0,0,1-.85.83H14.35a.84.84,0,0,1-.85-.83Z" transform="translate(-13.5 -13.5)"/>
+  <path class="cls-1" d="M46.88,26.59A1,1,0,0,0,48.5,26V14.68a1.18,1.18,0,0,0-1.18-1.18H36a1,1,0,0,0-.64,1.57Z" transform="translate(-13.5 -13.5)"/>
+</svg>
\ No newline at end of file

From 44d358e2eb4c7185dcdce5df139bbda90029dce3 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirna.wong@fishtownanalytics.com>
Date: Tue, 24 Oct 2023 10:35:50 +0100
Subject: [PATCH 21/66] fix casing

---
 website/snippets/_sl-partner-links.md                           | 2 +-
 website/static/img/icons/{Klipfolio-badge.svg => klipfolio.svg} | 0
 .../img/icons/white/{Klipfolio-badge.svg => klipfolio.svg}      | 0
 3 files changed, 1 insertion(+), 1 deletion(-)
 rename website/static/img/icons/{Klipfolio-badge.svg => klipfolio.svg} (100%)
 rename website/static/img/icons/white/{Klipfolio-badge.svg => klipfolio.svg} (100%)

diff --git a/website/snippets/_sl-partner-links.md b/website/snippets/_sl-partner-links.md
index f8ad6477844..ce2087bf380 100644
--- a/website/snippets/_sl-partner-links.md
+++ b/website/snippets/_sl-partner-links.md
@@ -33,7 +33,7 @@ The following tools integrate with the dbt Semantic Layer:
     title="KlipFolio Power Metrics"
     body="Refer to KlipFolio's documentation to learn how to connect, and deliver a streamlined metrics catalog to your business users."
     link="https://support.klipfolio.com/hc/en-us/articles/18164546900759-PowerMetrics-Adding-dbt-Semantic-Layer-metrics"
-    icon="klipfolio-badge"/>
+    icon="klipfolio"/>
     <a href="https://support.klipfolio.com/hc/en-us/articles/18164546900759-PowerMetrics-Adding-dbt-Semantic-Layer-metrics"
     className="external-link"
       target="_blank"
diff --git a/website/static/img/icons/Klipfolio-badge.svg b/website/static/img/icons/klipfolio.svg
similarity index 100%
rename from website/static/img/icons/Klipfolio-badge.svg
rename to website/static/img/icons/klipfolio.svg
diff --git a/website/static/img/icons/white/Klipfolio-badge.svg b/website/static/img/icons/white/klipfolio.svg
similarity index 100%
rename from website/static/img/icons/white/Klipfolio-badge.svg
rename to website/static/img/icons/white/klipfolio.svg

From 45466ced3d9f97b54fa69ac423d1d5e104b62af5 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 10:38:23 +0100
Subject: [PATCH 22/66] Update
 website/docs/faqs/Environments/custom-branch-settings.md

---
 website/docs/faqs/Environments/custom-branch-settings.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/faqs/Environments/custom-branch-settings.md b/website/docs/faqs/Environments/custom-branch-settings.md
index 110265b0087..0f9079881e3 100644
--- a/website/docs/faqs/Environments/custom-branch-settings.md
+++ b/website/docs/faqs/Environments/custom-branch-settings.md
@@ -1,7 +1,7 @@
 ---
 title: How do I use the 'Custom Branch' settings in a dbt Cloud Environment?
 description: "Use custom code from your repository"
-sidebar_label: 'Custom Branch settings'
+sidebar_label: 'Custom branch settings'
 id: custom-branch-settings
 ---
 

From 953d748b1867895dfed7db0d1d65e060476b4ea8 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirna.wong@fishtownanalytics.com>
Date: Tue, 24 Oct 2023 12:12:26 +0100
Subject: [PATCH 23/66] adding steve's video

---
 .../docs/docs/cloud/cloud-cli-installation.md | 80 +++++++++++++------
 1 file changed, 54 insertions(+), 26 deletions(-)

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index 5c0d6ad543e..da651156303 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -29,7 +29,7 @@ You must be on dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/db
 
 ## Install dbt Cloud CLI
 
-You can install the dbt Cloud CLI on the command line by using one of these methods:
+You can install the dbt Cloud CLI on the command line by using one of these methods. For a video instruction step-by-step guide, refer to the [FAQs](#faqs).
 
 <Tabs queryString="install">
 	
@@ -38,24 +38,35 @@ You can install the dbt Cloud CLI on the command line by using one of these meth
 Before you begin, make sure you have [Homebrew installed](http://brew.sh/) in your code editor or command line terminal. Refer to the [FAQs](#faqs) if your operating system runs into path conflicts.
 
 
-1. Run the following command to verify that there is no conflict with a dbt Core installation on your system:
+1. Run the following command to verify that you don't already have dbt Core installed:
    
   ```bash
   which dbt
   ```
-   - This should return a `dbt not found`. If the dbt help text appears, use `pip uninstall dbt` to deactivate dbt Core from your machine.
+   - This should return a `dbt not found`. If the dbt help text appears, use `pip uninstall dbt` to remove dbt Core from your machine. <br />
   
 2. Install the dbt Cloud CLI with Homebrew: 
 
-  ```bash
-  brew untap dbt-labs/dbt
-  brew tap dbt-labs/dbt-cli
-  brew install dbt
-  ```
-
-3. Verify the installation by running `dbt --help` from the command line. If the help text doesn't indicate that you're using the dbt Cloud CLI, make sure you've deactivated your pyenv or venv and don't have a version of dbt globally installed.
+   - First, remove a tap, which is like a separate repository for packages, from Homebrew. This stops Homebrew from installing packages from that repository:
+      ```bash
+      brew untap dbt-labs/dbt
+   -  Then run `brew tap` to add and install the dbt Cloud CLI as a package:
+      ```bash
+      brew tap dbt-labs/dbt-cli
+      ```
+   - Lastly, install the dbt Cloud CLI with Homebrew:
+      ```bash
+      brew install dbt
+      ```
+
+3. Verify the installation by running `dbt --help` from the command line. 
+   * If the help text doesn't indicate that you're using the dbt Cloud CLI, make sure you've deactivated your pyenv or venv and don't have a global dbt version installed.
    * You don't have to run the `dbt deps` command when your environment starts. Previously, you had to do it during initialization. However, you'll still need to run `dbt deps` if you make 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.
+
+**Note**, that if you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
+
 </TabItem>
 
 <TabItem value="windows" label="Windows (native executable)">
@@ -73,9 +84,14 @@ Advanced users can configure multiple projects to use the same dbt Cloud CLI by
 Note that if you are using VS Code, you must restart it to pick up modified environment variables.
 :::
 
-3. Verify the installation by running `./dbt --help` from the command line. If the help text doesn't indicate that you're using the dbt Cloud CLI, make sure you've deactivated your pyenv or venv and don't have a version of dbt globally installed.
+3. Verify the installation by running `./dbt --help` from the command line. 
+   * If the help text doesn't indicate that you're using the dbt Cloud CLI, make sure you've deactivated your pyenv or venv and don't have a version of dbt globally installed.
    * You don't have to run the `dbt deps` command when your environment starts. Previously, you had to do it during initialization. However, you'll still need to run `dbt deps` if you make 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.
+
+**Note**, that if you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
+
 </TabItem>
 
 <TabItem value="linux" label="Linux (native executable)">
@@ -97,23 +113,32 @@ Advanced users can configure multiple projects to use the same Cloud CLI executa
 
 :::
 
-3. Verify the installation by running `./dbt --help` from the command line. If the help text doesn't indicate that you're using the dbt Cloud CLI, make sure you've deactivated your pyenv or venv and don't have a version of dbt globally installed.
+3. Verify the installation by running `./dbt --help` from the command line. 
+   * If the help text doesn't indicate that you're using the dbt Cloud CLI, make sure you've deactivated your pyenv or venv and don't have a version of dbt globally installed.
    * You don't have to run the `dbt deps` command when your environment starts. Previously, you had to do it during initialization. However, you'll still need to run `dbt deps` if you make 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.
+
+**Note**, that if you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
+
 </TabItem>
 
 <TabItem value="pip" label="Existing dbt Core users (pip)">
 
-:::info Use native packages or a virtual environment to avoid overriding dbt Core
 
-Installing the dbt Cloud CLI with pip replaces dbt Core. This change can be avoided by using the native install method and configuring your PATH or by creating a new virtual environment.
+:::info Use native packages or a virtual environment to prevent dbt Core conflicts
 
-Otherwise, to switch back to dbt Core, uninstall the dbt Cloud CLI and follow the dbt Core installation instructions.
+To prevent overwriting dbt Core, avoid installing the dbt Cloud CLI with pip. Instead, consider using the native installation method and configuring your PATH or create a new virtual environment.
+
+If you've already installed the dbt Cloud CLI and need to switch back to dbt Core, uninstall the dbt Cloud CLI, and follow the dbt Core installation instructions.
+
+You can also have both dbt Cloud CLI and dbt Core installed simultaneously. To avoid conflicts, alias the dbt Cloud CLI as `dbt-cloud`. For more details, check the [FAQs](#faqs) if your operating system experiences path conflicts.
+:::
 
-::: 
 
 Before installing the dbt Cloud CLI, make sure you have Python installed and your virtual environment venv or pyenv . If you already have a Python environment configured, you can skip to the [pip installation step](#install-dbt-cloud-cli-in-pip).
 
+
 ### Install a virtual environment
 
 We recommend using virtual environments (venv) to namespace `cloud-cli`.
@@ -156,6 +181,10 @@ We recommend using virtual environments (venv) to namespace `cloud-cli`.
   pip3 install dbt-core==VERSION
   ```
 
+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.
+
+**Note**, that if you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
+
 </TabItem>
 
 </Tabs>
@@ -198,16 +227,6 @@ To update:
 
 </Tabs>
 
-
-## Next steps
-
-After installation, you can [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, you can execute `dbt compile` to compile a project using dbt Cloud.
-
-Note, that if you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
-
-
 ## FAQs
 
 <details>
@@ -231,3 +250,12 @@ If you have dbt Core installed locally, either:
 
 You can always uninstall the dbt Cloud CLI to return to using dbt Core.
 </details>
+
+<details>
+<summary>Are there any instructional videos to help guide me through installation? </summary>
+For a video walkthrough of the installation process, refer to the following video:
+
+<LoomVideo id="dd80828306c5432a996d4580135041b6?sid=fe1895b7-1281-4e42-9968-5f7d11768000"/>
+
+</details>
+

From 080701fb089cdc86e0c7a2af8df030594a7918e7 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 12:34:05 +0100
Subject: [PATCH 24/66] Update
 website/docs/faqs/Warehouse/bq-oauth-drive-scope.md

Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com>
---
 website/docs/faqs/Warehouse/bq-oauth-drive-scope.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md b/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
index fdaefa82f63..0bc38341b0e 100644
--- a/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
+++ b/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
@@ -1,6 +1,6 @@
 ---
 title: Why does the BigQuery OAuth application require scopes to Google Drive
-description: "Use this quick explainer to learn more about scopes in the BigQuery OAuth applicaton"
+description: "Learn more about Google Drive scopes in the BigQuery OAuth application"
 sidebar_label: "BigQuery OAuth GDrive Scopes"
 id: bq-oauth-drive-scope
 ---

From b8aa4e343886f052052e102e2d72d8725778d71d Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 12:34:12 +0100
Subject: [PATCH 25/66] Update
 website/docs/faqs/Warehouse/bq-oauth-drive-scope.md

Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com>
---
 website/docs/faqs/Warehouse/bq-oauth-drive-scope.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md b/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
index 0bc38341b0e..5b6856e15a1 100644
--- a/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
+++ b/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
@@ -5,6 +5,6 @@ sidebar_label: "BigQuery OAuth GDrive Scopes"
 id: bq-oauth-drive-scope
 ---
 
-BigQuery supports external tables over both personal Drive files and shared files. For more information on Drive, see Drive training and help.
+BigQuery supports external tables over both personal Google Drive files and shared files. For more information, refer to [Create Google Drive external tables](https://cloud.google.com/bigquery/docs/external-data-drive).
 
 You can read more about this in the [BigQuery docs](https://cloud.google.com/bigquery/docs/external-data-drive) on this particular topics.
\ No newline at end of file

From d5d679cfecc7fdf59f04c4c52ebb00aa26222053 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 12:34:19 +0100
Subject: [PATCH 26/66] Update
 website/docs/faqs/Warehouse/bq-oauth-drive-scope.md

Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com>
---
 website/docs/faqs/Warehouse/bq-oauth-drive-scope.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md b/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
index 5b6856e15a1..af5b9d1dd14 100644
--- a/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
+++ b/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
@@ -1,5 +1,5 @@
 ---
-title: Why does the BigQuery OAuth application require scopes to Google Drive
+title: Why does the BigQuery OAuth application require scopes to Google Drive?
 description: "Learn more about Google Drive scopes in the BigQuery OAuth application"
 sidebar_label: "BigQuery OAuth GDrive Scopes"
 id: bq-oauth-drive-scope

From ee652fdf3fe4672375cc4cbd6eb224a273911465 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 12:34:26 +0100
Subject: [PATCH 27/66] Update
 website/docs/faqs/Warehouse/bq-oauth-drive-scope.md

Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com>
---
 website/docs/faqs/Warehouse/bq-oauth-drive-scope.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md b/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
index af5b9d1dd14..1bd3fc4265b 100644
--- a/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
+++ b/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
@@ -1,7 +1,7 @@
 ---
 title: Why does the BigQuery OAuth application require scopes to Google Drive?
 description: "Learn more about Google Drive scopes in the BigQuery OAuth application"
-sidebar_label: "BigQuery OAuth GDrive Scopes"
+sidebar_label: "BigQuery OAuth Drive Scopes"
 id: bq-oauth-drive-scope
 ---
 

From f52a39da97414a358f02abae8e77578de33237bd Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 12:34:51 +0100
Subject: [PATCH 28/66] Update
 website/docs/faqs/Warehouse/bq-oauth-drive-scope.md

Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com>
---
 website/docs/faqs/Warehouse/bq-oauth-drive-scope.md | 2 --
 1 file changed, 2 deletions(-)

diff --git a/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md b/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
index 1bd3fc4265b..ae6da82c47a 100644
--- a/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
+++ b/website/docs/faqs/Warehouse/bq-oauth-drive-scope.md
@@ -6,5 +6,3 @@ id: bq-oauth-drive-scope
 ---
 
 BigQuery supports external tables over both personal Google Drive files and shared files. For more information, refer to [Create Google Drive external tables](https://cloud.google.com/bigquery/docs/external-data-drive).
-
-You can read more about this in the [BigQuery docs](https://cloud.google.com/bigquery/docs/external-data-drive) on this particular topics.
\ No newline at end of file

From d63c7763caa16e801596a19a49cedee269824fb0 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 14:48:21 +0100
Subject: [PATCH 29/66] Update cloud-build-and-view-your-docs.md

adding missing step per user feedback passed on by @kbrock91
---
 .../collaborate/cloud-build-and-view-your-docs.md   | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/website/docs/docs/collaborate/cloud-build-and-view-your-docs.md b/website/docs/docs/collaborate/cloud-build-and-view-your-docs.md
index a54b8fcdc2b..b387c64788f 100644
--- a/website/docs/docs/collaborate/cloud-build-and-view-your-docs.md
+++ b/website/docs/docs/collaborate/cloud-build-and-view-your-docs.md
@@ -40,16 +40,17 @@ To create and schedule documentation-only jobs at the end of your production job
 You configure project documentation to generate documentation when the job you set up in the previous section runs. In the project settings, specify the job that generates documentation artifacts for that project. Once you configure this setting, subsequent runs of the job will automatically include a step to generate documentation.
 
 1. Click the gear icon in the top right.
-2. Select **Projects** and click the project that needs documentation.
-3. Click **Edit**.
-4. Under "Artifacts," select the job that should generate docs when it runs.
+2. Select **Account Settings**.
+3. Navigate to **Projects** and select the project that needs documentation.
+4. Click **Edit**.
+5. Under **Artifacts**, select the job that should generate docs when it runs.
    <Lightbox src="/img/docs/dbt-cloud/using-dbt-cloud/documentation-project-details.png" title="Configuring project documentation"/>
-5. Click **Save**.
+6. Click **Save**.
 
 ## Generating documentation
 
-To generate documentation in the IDE, run the `dbt docs generate` command in the
-Command Bar in the IDE. This command will generate the Docs for your dbt project as it exists in development in your IDE session.
+To generate documentation in the dbt Cloud IDE, run the `dbt docs generate` command in the
+Command Bar in the dbt Cloud IDE. This command will generate the Docs for your dbt project as it exists in development in your IDE session.
 
 <Lightbox src="/img/docs/dbt-cloud/dbt-docs-generate-command.png" title="dbt docs generate"/>
 

From a3894dc96ec4379dc48c1126aacffd7efdc22d04 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 15:51:36 +0100
Subject: [PATCH 30/66] Update
 website/docs/docs/cloud/cloud-cli-installation.md

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

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index da651156303..e921c629bb0 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -29,7 +29,7 @@ You must be on dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/db
 
 ## Install dbt Cloud CLI
 
-You can install the dbt Cloud CLI on the command line by using one of these methods. For a video instruction step-by-step guide, refer to the [FAQs](#faqs).
+You can install the dbt Cloud CLI on the command line by using one of these methods. For a step-by-step video guide, refer to the [FAQs](#faqs).
 
 <Tabs queryString="install">
 	

From 640e75871e417b4e6d15a02402a03ebdbee069f5 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 15:58:39 +0100
Subject: [PATCH 31/66] Update
 website/docs/docs/cloud/cloud-cli-installation.md

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

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index e921c629bb0..0d8e234c698 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -47,7 +47,7 @@ Before you begin, make sure you have [Homebrew installed](http://brew.sh/) in yo
   
 2. Install the dbt Cloud CLI with Homebrew: 
 
-   - First, remove a tap, which is like a separate repository for packages, from Homebrew. This stops Homebrew from installing packages from that repository:
+   - First, remove the dbt-labs tap, the separate repository for packages, from Homebrew. This prevents Homebrew from installing packages from that repository:
       ```bash
       brew untap dbt-labs/dbt
    -  Then run `brew tap` to add and install the dbt Cloud CLI as a package:

From 22280372d930bd23480d62ae3ca836884fc66a5a Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 16:09:34 +0100
Subject: [PATCH 32/66] Update
 website/docs/docs/cloud/cloud-cli-installation.md

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

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index 0d8e234c698..da6c5c53197 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -63,7 +63,7 @@ Before you begin, make sure you have [Homebrew installed](http://brew.sh/) in yo
    * If the help text doesn't indicate that you're using the dbt Cloud CLI, make sure you've deactivated your pyenv or venv and don't have a global dbt version installed.
    * You don't have to run the `dbt deps` command when your environment starts. Previously, you had to do it during initialization. However, you'll still need to run `dbt deps` if you make 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. 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.
 
 **Note**, that if you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
 

From c8e066aa645892515e0f2564cac9b71f9559f1cd Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 16:11:30 +0100
Subject: [PATCH 33/66] Update
 website/docs/docs/cloud/cloud-cli-installation.md

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

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index da6c5c53197..51cf9482cc0 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -65,7 +65,7 @@ Before you begin, make sure you have [Homebrew installed](http://brew.sh/) in yo
 
 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.
 
-**Note**, that if you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
+If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file locally on your machine.  
 
 </TabItem>
 

From ec4ac1885ba741c5baa8bdacbaea6d9342f6a503 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 16:18:05 +0100
Subject: [PATCH 34/66] Update
 website/docs/faqs/Environments/custom-branch-settings.md

Co-authored-by: dave-connors-3 <73915542+dave-connors-3@users.noreply.github.com>
---
 website/docs/faqs/Environments/custom-branch-settings.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/faqs/Environments/custom-branch-settings.md b/website/docs/faqs/Environments/custom-branch-settings.md
index 0f9079881e3..5d8bb862702 100644
--- a/website/docs/faqs/Environments/custom-branch-settings.md
+++ b/website/docs/faqs/Environments/custom-branch-settings.md
@@ -15,7 +15,7 @@ To specify a custom branch:
 
 ## Development
 
-In a development environment, the default branch (usually named `main`) is a read-only branch in your connected repositories, which allows you to create new branches for development based on it.  
+In a development environment, the default branch (usually named `main`) is a read-only branch in your connected repositories, which allows you to create new branches for development from it.  
 
 Specifying a **Custom branch** overrides the default behavior. It makes the custom branch 'read-only' and enables you to create new development branches based on it. This also means you can't edit this custom branch directly.
 

From 9b0d6063fa4332ca38bee1391e5778f2f962b833 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Tue, 24 Oct 2023 16:18:11 +0100
Subject: [PATCH 35/66] Update
 website/docs/faqs/Environments/custom-branch-settings.md

Co-authored-by: dave-connors-3 <73915542+dave-connors-3@users.noreply.github.com>
---
 website/docs/faqs/Environments/custom-branch-settings.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/faqs/Environments/custom-branch-settings.md b/website/docs/faqs/Environments/custom-branch-settings.md
index 5d8bb862702..4bc4b85be02 100644
--- a/website/docs/faqs/Environments/custom-branch-settings.md
+++ b/website/docs/faqs/Environments/custom-branch-settings.md
@@ -17,7 +17,7 @@ To specify a custom branch:
 
 In a development environment, the default branch (usually named `main`) is a read-only branch in your connected repositories, which allows you to create new branches for development from it.  
 
-Specifying a **Custom branch** overrides the default behavior. It makes the custom branch 'read-only' and enables you to create new development branches based on it. This also means you can't edit this custom branch directly.
+Specifying a **Custom branch** overrides the default behavior. It makes the custom branch 'read-only' and enables you to create new development branches from it. This also means you can't edit this custom branch directly.
 
 Only one branch can be read-only, which means when you set up a custom branch, your `main` branch (usually read-only) becomes editable. If you want to protect the `main` branch and prevent any commits on it, you need to set up branch protection rules in your git provider settings. This ensures your `main` branch remains secure and no new commits can be made to it.
 

From 6e93a69ad1e9e4b557fd703f64032f913a6cbeeb Mon Sep 17 00:00:00 2001
From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com>
Date: Tue, 24 Oct 2023 15:58:12 -0400
Subject: [PATCH 36/66] Update website/docs/quickstarts/bigquery-qs.md

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

diff --git a/website/docs/quickstarts/bigquery-qs.md b/website/docs/quickstarts/bigquery-qs.md
index 93148f41f40..546b56c234c 100644
--- a/website/docs/quickstarts/bigquery-qs.md
+++ b/website/docs/quickstarts/bigquery-qs.md
@@ -100,7 +100,7 @@ Now that you have a repository configured, you can initialize your project and s
 
 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 dbt 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` and click **Commit**. This creates the first commit to your managed repo and allows you to open a branch where you can add a new dbt code.
+3. Make your initial commit by clicking **Commit and sync**. Use the commit message `initial commit` and click **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:
     - In the command line bar at the bottom, enter `dbt run` and click **Enter**. You should see a `dbt run succeeded` message.
     - To confirm the success of the above command, navigate to the BigQuery Console and discover the newly created models.

From 36facee9fea9b3a95e68d201b08fc160e20c1821 Mon Sep 17 00:00:00 2001
From: Brian Jan <brian.j.jan@gmail.com>
Date: Tue, 24 Oct 2023 15:32:53 -0500
Subject: [PATCH 37/66] Update set-up-sso-okta.md

Added expiring cert note
---
 website/docs/docs/cloud/manage-access/set-up-sso-okta.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/cloud/manage-access/set-up-sso-okta.md b/website/docs/docs/cloud/manage-access/set-up-sso-okta.md
index 5ec70443d1f..c5328695fe2 100644
--- a/website/docs/docs/cloud/manage-access/set-up-sso-okta.md
+++ b/website/docs/docs/cloud/manage-access/set-up-sso-okta.md
@@ -171,7 +171,7 @@ configured in the steps above.
 | **Log&nbsp;in&nbsp;with** | Okta |
 | **Identity&nbsp;Provider&nbsp;SSO&nbsp;Url** | Paste the **Identity Provider Single Sign-On URL** shown in the Okta setup instructions |
 | **Identity&nbsp;Provider&nbsp;Issuer** | Paste the **Identity Provider Issuer** shown in the Okta setup instructions |
-| **X.509&nbsp;Certificate** | Paste the **X.509 Certificate** shown in the Okta setup instructions |
+| **X.509&nbsp;Certificate** | Paste the **X.509 Certificate** shown in the Okta setup instructions; **Note:** When the cerificate expires, an Okta admin will have to generate a new one to be pasted into dbt Cloud for uninterrupted application access |
 | **Slug** | Enter your desired login slug. Users will be able to log into dbt Cloud by navigating to `https://YOUR_ACCESS_URL/enterprise-login/LOGIN-SLUG`, replacing `YOUR_ACCESS_URL` with the [appropriate Access URL](/docs/cloud/about-cloud/regions-ip-addresses) for your region and plan. Login slugs must be unique across all dbt Cloud accounts, so pick a slug that uniquely identifies your company. |
 
 <Lightbox

From 2e709af57df355a14a133721bac28eff8dfc803c Mon Sep 17 00:00:00 2001
From: rpourzand <rpourzan@gmail.com>
Date: Tue, 24 Oct 2023 15:45:29 -0700
Subject: [PATCH 38/66] Update tableau.md

---
 website/docs/docs/use-dbt-semantic-layer/tableau.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/use-dbt-semantic-layer/tableau.md b/website/docs/docs/use-dbt-semantic-layer/tableau.md
index ac3e6b64ab0..2eba9d0c318 100644
--- a/website/docs/docs/use-dbt-semantic-layer/tableau.md
+++ b/website/docs/docs/use-dbt-semantic-layer/tableau.md
@@ -15,7 +15,7 @@ The Tableau integration allows you to use worksheets to query the Semantic Layer
 ## Prerequisites
 
 1. You must have [Tableau Desktop](https://www.tableau.com/en-gb/products/desktop) installed
-2. Authenticate with either Tableau Server or Tableau Cloud
+2. Authenticate in Tableau Desktop (you can authenticate with a license, or credentials used to login to Tableau Server or Online)
 3. 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.
 4. You must 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)
 

From 76568550363462ee816e6be21624e566aefd6c95 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 10:16:32 +0100
Subject: [PATCH 39/66] Update cloud-cli-installation.md

clarify dbt --help output per Matt's feedbakc
---
 website/docs/docs/cloud/cloud-cli-installation.md | 15 ++++++++++-----
 1 file changed, 10 insertions(+), 5 deletions(-)

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index 51cf9482cc0..d5e9904f137 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -23,7 +23,7 @@ dbt commands are run against dbt Cloud's infrastructure and benefit from:
 
 
 ## Prerequisites 
-The dbt Cloud CLI is available in all [deployment regions](/docs/cloud/about-cloud/regions-ip-addresses) and and for both multi-tenant and single-tenant accounts (Azure single-tenant not supported at this time).
+The dbt Cloud CLI is available in all [deployment regions](/docs/cloud/about-cloud/regions-ip-addresses) and for both multi-tenant and single-tenant accounts (Azure single-tenant not supported at this time).
 
 You must be on dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/dbt-versions/upgrade-core-in-cloud) to upgrade.
 
@@ -59,11 +59,16 @@ Before you begin, make sure you have [Homebrew installed](http://brew.sh/) in yo
       brew install dbt
       ```
 
-3. Verify the installation by running `dbt --help` from the command line. 
-   * If the help text doesn't indicate that you're using the dbt Cloud CLI, make sure you've deactivated your pyenv or venv and don't have a global dbt version installed.
-   * You don't have to run the `dbt deps` command when your environment starts. Previously, you had to do it during initialization. However, you'll still need to run `dbt deps` if you make changes to your `packages.yml` file.
+3. To verify your installation, open the command line and run the command dbt --help. If your installation is correct, you should see the following output:
+     ```bash
+     The dbt Cloud CLI - an ELT tool for running SQL transformations and data models in dbt Cloud. For more documentation on these commands, visit: docs.getdbt.com
+     ```
+     This output confirms that you've successfully installed the dbt Cloud CLI. If you don't see this output, please ensure that you've deactivated your pyenv or venv and don't have a global dbt version
+     installed.
+   
+Note that you no longer need to run the `dbt deps` command when your environment starts. This command 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.
+7. 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.
 
 If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file locally on your machine.  
 

From f58614c0c87fa83ec94b489ed19a40884d1560a4 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 10:16:56 +0100
Subject: [PATCH 40/66] Update cloud-cli-installation.md

---
 website/docs/docs/cloud/cloud-cli-installation.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index d5e9904f137..928c7240080 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -63,8 +63,7 @@ Before you begin, make sure you have [Homebrew installed](http://brew.sh/) in yo
      ```bash
      The dbt Cloud CLI - an ELT tool for running SQL transformations and data models in dbt Cloud. For more documentation on these commands, visit: docs.getdbt.com
      ```
-     This output confirms that you've successfully installed the dbt Cloud CLI. If you don't see this output, please ensure that you've deactivated your pyenv or venv and don't have a global dbt version
-     installed.
+     This output confirms that you've successfully installed the dbt Cloud CLI. If you don't see this output, please ensure that you've deactivated your pyenv or venv and don't have a global dbt version installed.
    
 Note that you no longer need to run the `dbt deps` command when your environment starts. This command was previously required during initialization. However, you should still run `dbt deps` if you make any changes to your `packages.yml` file.
 

From c3f50c96acbfc817f417882a1dac8de131d9c434 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirna.wong@fishtownanalytics.com>
Date: Wed, 25 Oct 2023 10:32:18 +0100
Subject: [PATCH 41/66] rephrase

---
 .../docs/docs/cloud/cloud-cli-installation.md | 55 +++++++++++--------
 1 file changed, 32 insertions(+), 23 deletions(-)

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index 928c7240080..95962b0d8d9 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -19,7 +19,7 @@ dbt commands are run against dbt Cloud's infrastructure and benefit from:
 * [Automatic deferral](/docs/cloud/about-cloud-develop-defer) of build artifacts to your Cloud project's production environment. 
 * Speedier, lower-cost builds.
 * Support for dbt Mesh ([cross-project `ref`](/docs/collaborate/govern/project-dependencies)),
-* Significant platform improvements, to be released over the coming months.
+https://github.com/dbt-labs/docs.getdbt.com/pull/4320* Significant platform improvements, to be released over the coming months.
 
 
 ## Prerequisites 
@@ -29,7 +29,9 @@ You must be on dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/db
 
 ## Install dbt Cloud CLI
 
-You can install the dbt Cloud CLI on the command line by using one of these methods. For a step-by-step video guide, refer to the [FAQs](#faqs).
+You can install the dbt Cloud CLI on the command line by using one of these methods. 
+
+For a step-by-step video guide, refer to the [FAQs](#faqs).
 
 <Tabs queryString="install">
 	
@@ -59,17 +61,17 @@ Before you begin, make sure you have [Homebrew installed](http://brew.sh/) in yo
       brew install dbt
       ```
 
-3. To verify your installation, open the command line and run the command dbt --help. If your installation is correct, you should see the following output:
-     ```bash
-     The dbt Cloud CLI - an ELT tool for running SQL transformations and data models in dbt Cloud. For more documentation on these commands, visit: docs.getdbt.com
-     ```
-     This output confirms that you've successfully installed the dbt Cloud CLI. If you don't see this output, please ensure that you've deactivated your pyenv or venv and don't have a global dbt version installed.
-   
-Note that you no longer need to run the `dbt deps` command when your environment starts. This command was previously required during initialization. However, you should still run `dbt deps` if you make any changes to your `packages.yml` file.
+3. Verify your installation by running `dbt --help` in the command line. If you see the following output, your installation is correct
+      ```bash
+      The dbt Cloud CLI - an ELT tool for running SQL transformations and data models in dbt Cloud...
+      ```
 
-7. 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.
+     If you don't see this output, check that you've deactivated pyenv or venv and don't have a global dbt version installed.
+   
+   * 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.
 
-If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file locally on your machine.  
+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.
+   * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file locally on your machine.  
 
 </TabItem>
 
@@ -88,13 +90,17 @@ Advanced users can configure multiple projects to use the same dbt Cloud CLI by
 Note that if you are using VS Code, you must restart it to pick up modified environment variables.
 :::
 
-3. Verify the installation by running `./dbt --help` from the command line. 
-   * If the help text doesn't indicate that you're using the dbt Cloud CLI, make sure you've deactivated your pyenv or venv and don't have a version of dbt globally installed.
-   * You don't have to run the `dbt deps` command when your environment starts. Previously, you had to do it during initialization. However, you'll still need to run `dbt deps` if you make changes to your `packages.yml` file.
+3. Verify your installation by running `./dbt --help` in the command line. If you see the following output, your installation is correct
+      ```bash
+      The dbt Cloud CLI - an ELT tool for running SQL transformations and data models in dbt Cloud...
+      ```
 
-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.
+     If you don't see this output, check that you've deactivated pyenv or venv and don't have a global dbt version installed.
+   
+   * 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.
 
-**Note**, that if you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.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.
+   * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
 
 </TabItem>
 
@@ -117,13 +123,17 @@ Advanced users can configure multiple projects to use the same Cloud CLI executa
 
 :::
 
-3. Verify the installation by running `./dbt --help` from the command line. 
-   * If the help text doesn't indicate that you're using the dbt Cloud CLI, make sure you've deactivated your pyenv or venv and don't have a version of dbt globally installed.
-   * You don't have to run the `dbt deps` command when your environment starts. Previously, you had to do it during initialization. However, you'll still need to run `dbt deps` if you make changes to your `packages.yml` file.
+3. Verify your installation by running `./dbt --help` in the command line. If you see the following output, your installation is correct
+      ```bash
+      The dbt Cloud CLI - an ELT tool for running SQL transformations and data models in dbt Cloud...
+      ```
+
+     If you don't see this output, check that you've deactivated pyenv or venv and don't have a global dbt version installed.
+   
+   * 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.
-
-**Note**, that if you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
+   * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
 
 </TabItem>
 
@@ -186,8 +196,7 @@ We recommend using virtual environments (venv) to namespace `cloud-cli`.
   ```
 
 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.
-
-**Note**, that if you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
+   * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
 
 </TabItem>
 

From 7bd3568bc744eacb8aa0ffe56a5cb5a43f2b2f17 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirna.wong@fishtownanalytics.com>
Date: Wed, 25 Oct 2023 10:37:31 +0100
Subject: [PATCH 42/66] fold in feedback

---
 website/docs/docs/cloud/cloud-cli-installation.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index 95962b0d8d9..b0207b62dad 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -100,7 +100,7 @@ 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.
-   * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
+   * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file locally on your machine. 
 
 </TabItem>
 
@@ -133,7 +133,7 @@ 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.
-   * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
+   * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file locally on your machine.
 
 </TabItem>
 
@@ -196,7 +196,7 @@ We recommend using virtual environments (venv) to namespace `cloud-cli`.
   ```
 
 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.
-   * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
+   * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file locally on your machine. 
 
 </TabItem>
 

From 7a38dbd9d9e5727faf7438635cfff391083e317d Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 10:39:20 +0100
Subject: [PATCH 43/66] Update
 website/docs/docs/cloud/cloud-cli-installation.md

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

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index b0207b62dad..f0628e08ec5 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -195,7 +195,7 @@ We recommend using virtual environments (venv) to namespace `cloud-cli`.
   pip3 install dbt-core==VERSION
   ```
 
-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. 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.
    * If you're using the dbt Cloud CLI, you can connect to your data platform directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file locally on your machine. 
 
 </TabItem>

From 3ca3da318b7e6b7e0e6c4a36885e8deb169e8c81 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirna.wong@fishtownanalytics.com>
Date: Wed, 25 Oct 2023 10:41:34 +0100
Subject: [PATCH 44/66] add colon

---
 website/docs/docs/cloud/cloud-cli-installation.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index b0207b62dad..698dc92df20 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -61,7 +61,7 @@ Before you begin, make sure you have [Homebrew installed](http://brew.sh/) in yo
       brew install dbt
       ```
 
-3. Verify your installation by running `dbt --help` in the command line. If you see the following output, your installation is correct
+3. Verify your installation by running `dbt --help` in the command line. If you see the following output, your installation is correct:
       ```bash
       The dbt Cloud CLI - an ELT tool for running SQL transformations and data models in dbt Cloud...
       ```
@@ -90,7 +90,7 @@ Advanced users can configure multiple projects to use the same dbt Cloud CLI by
 Note that if you are using VS Code, you must restart it to pick up modified environment variables.
 :::
 
-3. Verify your installation by running `./dbt --help` in the command line. If you see the following output, your installation is correct
+3. Verify your installation by running `./dbt --help` in the command line. If you see the following output, your installation is correct:
       ```bash
       The dbt Cloud CLI - an ELT tool for running SQL transformations and data models in dbt Cloud...
       ```
@@ -123,7 +123,7 @@ Advanced users can configure multiple projects to use the same Cloud CLI executa
 
 :::
 
-3. Verify your installation by running `./dbt --help` in the command line. If you see the following output, your installation is correct
+3. Verify your installation by running `./dbt --help` in the command line. If you see the following output, your installation is correct:
       ```bash
       The dbt Cloud CLI - an ELT tool for running SQL transformations and data models in dbt Cloud...
       ```

From 82bc5c1d7ab0a87c4ad3c6e85da09fff8ed90f07 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 10:50:14 +0100
Subject: [PATCH 45/66] Update metricflow-commands.md

rephrase to 'dbt cloud' only instead of cloud cli or ide
---
 website/docs/docs/build/metricflow-commands.md | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md
index 041ce7a7d5e..2386dab4ba2 100644
--- a/website/docs/docs/build/metricflow-commands.md
+++ b/website/docs/docs/build/metricflow-commands.md
@@ -25,7 +25,7 @@ MetricFlow is a dbt package that allows you to define and query metrics in your
 
 MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI. 
 
-A benefit to using the dbt Cloud CLI or dbt Cloud IDE is that you won't need to manage versioning &mdash; your dbt Cloud account will automatically manage the versioning.
+A benefit to using the dbt Cloud is that you won't need to manage versioning &mdash; your dbt Cloud account will automatically manage the versioning.
 
 </TabItem>
 
@@ -35,6 +35,8 @@ A benefit to using the dbt Cloud CLI or dbt Cloud IDE is that you won't need to
 You can create metrics using MetricFlow in the dbt Cloud IDE. However, support for running MetricFlow commands in the IDE will be available soon.
 :::
 
+A benefit to using the dbt Cloud is that you won't need to manage versioning &mdash; your dbt Cloud account will automatically manage the versioning.
+
 </TabItem>
 
 <TabItem value="core" label="dbt Core">
@@ -44,13 +46,13 @@ You can create metrics using MetricFlow in the dbt Cloud IDE. However, support f
 
 Use the dbt Cloud CLI for the experience in defining and querying metrics in your dbt project on dbt Cloud or dbt Core with MetricFlow. 
 
-A benefit to using the dbt Cloud CLI or dbt Cloud IDE is that you won't need to manage versioning — your dbt Cloud account will automatically manage the versioning.
+A benefit to using the dbt Cloud is that you won't need to manage versioning &mdash; your dbt Cloud account will automatically manage the versioning.
 :::
 
 
 You can install [MetricFlow](https://github.com/dbt-labs/metricflow#getting-started) from [PyPI](https://pypi.org/project/dbt-metricflow/). You need to use `pip` to install MetricFlow on Windows or Linux operating systems:
 
-1. Create or activate your virtual environment`python -m venv venv`
+1. Create or activate your virtual environment `python -m venv venv`
 2. Run `pip install dbt-metricflow`
   * You can install MetricFlow using PyPI as an extension of your dbt adapter in the command line. To install the adapter, run `pip install "dbt-metricflow[your_adapter_name]"` and add the adapter name at the end of the command. For example, for a Snowflake adapter run `pip install "dbt-metricflow[snowflake]"`
 
@@ -78,7 +80,7 @@ Use the `dbt sl` prefix before the command name to execute them in dbt Cloud. Fo
 - [`list entities`](#list-entities) &mdash; Lists all unique entities.
 - [`query`](#query) &mdash; Query metrics and dimensions you want to see in the command line interface. Refer to [query examples](#query-examples) to help you get started.
 
-<!--below commands aren't support in dbt cloud yet
+<!--below commands aren't supported in dbt cloud yet
 - [`validate-configs`](#validate-configs) &mdash; Validates semantic model configurations.
 - [`health-checks`](#health-checks) &mdash; Performs data platform health check.
 - [`tutorial`](#tutorial) &mdash; Dedicated MetricFlow tutorial to help get you started.

From 736868a95acb0bc15fb9ebb2cc209ffa5adc037b Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 11:11:29 +0100
Subject: [PATCH 46/66] Update cloud-cli-installation.md

folding privatelink/ssh per [slack thread](https://dbt-labs.slack.com/archives/C051TUB7S9W/p1698164950851459?thread_ts=1698149556.814129&cid=C051TUB7S9W) in this  pr
---
 .../docs/docs/cloud/cloud-cli-installation.md | 20 +++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index bd8be96a416..5816cff456e 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -25,13 +25,21 @@ https://github.com/dbt-labs/docs.getdbt.com/pull/4320* Significant platform impr
 ## Prerequisites 
 The dbt Cloud CLI is available in all [deployment regions](/docs/cloud/about-cloud/regions-ip-addresses) and for both multi-tenant and single-tenant accounts (Azure single-tenant not supported at this time).
 
-You must be on dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/dbt-versions/upgrade-core-in-cloud) to upgrade.
+- Ensure you are using dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/dbt-versions/upgrade-core-in-cloud) to upgrade.
+- Avoid using SSH tunneling for [Postgres and Redshift](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) connections.
+- Avoid using [PrivateLink](/cloud/secure/about-privatelink).
 
 ## Install dbt Cloud CLI
 
 You can install the dbt Cloud CLI on the command line by using one of these methods. 
 
-For a step-by-step video guide, refer to the [FAQs](#faqs).
+<details>
+<summary>Watch a step-by-step video guide</summary>
+For a video walkthrough of the installation process, refer to the following video:
+
+<LoomVideo id="dd80828306c5432a996d4580135041b6?sid=fe1895b7-1281-4e42-9968-5f7d11768000"/>
+
+</details>
 
 <Tabs queryString="install">
 	
@@ -39,7 +47,6 @@ For a step-by-step video guide, refer to the [FAQs](#faqs).
 
 Before you begin, make sure you have [Homebrew installed](http://brew.sh/) in your code editor or command line terminal. Refer to the [FAQs](#faqs) if your operating system runs into path conflicts.
 
-
 1. Run the following command to verify that you don't already have dbt Core installed:
    
   ```bash
@@ -264,11 +271,4 @@ If you have dbt Core installed locally, either:
 You can always uninstall the dbt Cloud CLI to return to using dbt Core.
 </details>
 
-<details>
-<summary>Are there any instructional videos to help guide me through installation? </summary>
-For a video walkthrough of the installation process, refer to the following video:
-
-<LoomVideo id="dd80828306c5432a996d4580135041b6?sid=fe1895b7-1281-4e42-9968-5f7d11768000"/>
-
-</details>
 

From dabee4996653e67013f2e0a150a8a230d4d403c7 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 11:12:49 +0100
Subject: [PATCH 47/66] Update
 website/docs/docs/cloud/manage-access/set-up-sso-okta.md

---
 website/docs/docs/cloud/manage-access/set-up-sso-okta.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/cloud/manage-access/set-up-sso-okta.md b/website/docs/docs/cloud/manage-access/set-up-sso-okta.md
index c5328695fe2..cae592d2827 100644
--- a/website/docs/docs/cloud/manage-access/set-up-sso-okta.md
+++ b/website/docs/docs/cloud/manage-access/set-up-sso-okta.md
@@ -171,7 +171,7 @@ configured in the steps above.
 | **Log&nbsp;in&nbsp;with** | Okta |
 | **Identity&nbsp;Provider&nbsp;SSO&nbsp;Url** | Paste the **Identity Provider Single Sign-On URL** shown in the Okta setup instructions |
 | **Identity&nbsp;Provider&nbsp;Issuer** | Paste the **Identity Provider Issuer** shown in the Okta setup instructions |
-| **X.509&nbsp;Certificate** | Paste the **X.509 Certificate** shown in the Okta setup instructions; **Note:** When the cerificate expires, an Okta admin will have to generate a new one to be pasted into dbt Cloud for uninterrupted application access |
+| **X.509&nbsp;Certificate** | Paste the **X.509 Certificate** shown in the Okta setup instructions; **Note:** When the certificate expires, an Okta admin will have to generate a new one to be pasted into dbt Cloud for uninterrupted application access |
 | **Slug** | Enter your desired login slug. Users will be able to log into dbt Cloud by navigating to `https://YOUR_ACCESS_URL/enterprise-login/LOGIN-SLUG`, replacing `YOUR_ACCESS_URL` with the [appropriate Access URL](/docs/cloud/about-cloud/regions-ip-addresses) for your region and plan. Login slugs must be unique across all dbt Cloud accounts, so pick a slug that uniquely identifies your company. |
 
 <Lightbox

From 54f5b142d44f6a2dfa6031f12412b500bcb19d5a Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirna.wong@fishtownanalytics.com>
Date: Wed, 25 Oct 2023 11:20:27 +0100
Subject: [PATCH 48/66] tweak video callout

---
 website/docs/docs/cloud/cloud-cli-installation.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index 5816cff456e..5ce10b08355 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -34,8 +34,7 @@ The dbt Cloud CLI is available in all [deployment regions](/docs/cloud/about-clo
 You can install the dbt Cloud CLI on the command line by using one of these methods. 
 
 <details>
-<summary>Watch a step-by-step video guide</summary>
-For a video walkthrough of the installation process, refer to the following video:
+<summary>View a video tutorial for a step-by-step guide to installing</summary>
 
 <LoomVideo id="dd80828306c5432a996d4580135041b6?sid=fe1895b7-1281-4e42-9968-5f7d11768000"/>
 

From baf071595972a90c806eb84461951e8a2e455df6 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 11:25:47 +0100
Subject: [PATCH 49/66] Update
 website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md

---
 .../docs/guides/dbt-ecosystem/sl-partner-integration-guide.md   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
index ad341eb4eff..51cd9682502 100644
--- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
+++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
@@ -33,7 +33,7 @@ The dbt Semantic Layer APIs authenticate with `environmentId`, `SERVICE_TOKEN`,
 
 We recommend you provide users with separate input fields with these components for authentication (dbt Cloud will surface these parameters for the user). 
 
-### Exposing Metadata to dbt Labs 
+### Exposing metadata to dbt Labs 
 
 When building an integration, we recommend you expose certain metadata in the request for analytics purposes. Among other items, it is helpful to have the following: 
 

From 0122e225b54dbf4052685522cd18900fff7cb629 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 11:26:19 +0100
Subject: [PATCH 50/66] Update
 website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md

---
 .../docs/guides/dbt-ecosystem/sl-partner-integration-guide.md   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
index 51cd9682502..fe2a1407c74 100644
--- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
+++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
@@ -37,7 +37,7 @@ We recommend you provide users with separate input fields with these components
 
 When building an integration, we recommend you expose certain metadata in the request for analytics purposes. Among other items, it is helpful to have the following: 
 
-- Your application's name (e.g., Tableau)
+- Your application's name (such as 'Tableau')
 - The user email of the person querying from your application
 - The version of dbt they are on.
 

From 184ee98cabdc9077d5996d776e965a1574f450f3 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 11:26:58 +0100
Subject: [PATCH 51/66] Update
 website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md

---
 .../docs/guides/dbt-ecosystem/sl-partner-integration-guide.md   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
index fe2a1407c74..6c1751264cc 100644
--- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
+++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
@@ -38,7 +38,7 @@ We recommend you provide users with separate input fields with these components
 When building an integration, we recommend you expose certain metadata in the request for analytics purposes. Among other items, it is helpful to have the following: 
 
 - Your application's name (such as 'Tableau')
-- The user email of the person querying from your application
+- The email of the person querying your application
 - The version of dbt they are on.
 
 

From af3b12b3e3c0d2bf6479053568a066bd9b1f793d Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 11:27:27 +0100
Subject: [PATCH 52/66] Update
 website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md

---
 .../docs/guides/dbt-ecosystem/sl-partner-integration-guide.md   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
index 6c1751264cc..5b75498a4fd 100644
--- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
+++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
@@ -93,7 +93,7 @@ Allow users to query either one metric alone without dimensions or multiple metr
 
 - Allow toggling between metrics/dimensions seamlessly.
 
-- Be clear on exposing what dimensions are queryable with what metrics and hide things that don’t apply(our APIs provide calls for you to get relevant dimensions for metrics, and vice versa).
+- Be clear on exposing what dimensions are queryable with what metrics and hide things that don’t apply. (Our APIs provide calls for you to get relevant dimensions for metrics, and vice versa).
 
 - Only expose time granularities (monthly, daily, yearly) that match the available metrics. 
   * For example, if a dbt model and its resulting semantic model have a monthly granularity, make sure querying data with a 'daily' granularity isn't available to the user. Our APIs have functionality that will help you surface the correct granularities

From 8a6abbb1fd3a05a4651dba603a01a57bccc20a4f Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 11:27:40 +0100
Subject: [PATCH 53/66] Update
 website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md

---
 .../docs/guides/dbt-ecosystem/sl-partner-integration-guide.md   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
index 5b75498a4fd..bf40d43a8f0 100644
--- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
+++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
@@ -117,7 +117,7 @@ For better analysis, it's best to have the context of the metrics close to where
 
 - Allow for creating other metadata that’s useful for the metric. We can provide some of this information in our configuration (Display name, Default Granularity for View, Default Time range), but there may be other metadata that your tool wants to provide to make the metric richer.
 
-### Transparency and Using Compile
+### Transparency and using compile
 
 For transparency and additional context, we recommend you have an easy way for the user to obtain the SQL that MetricFlow generates. Depending on what API you are using, you can do this by using our compile parameter. This is incredibly powerful because we want to be very transparent to the user about what we're doing and do not want to be a black box. This would be mostly beneficial to a technical user.
 

From 2ed88fb71b14af5d6552b01c9b89eee758bff3a9 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 11:30:13 +0100
Subject: [PATCH 54/66] Update
 website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md

---
 .../docs/guides/dbt-ecosystem/sl-partner-integration-guide.md   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
index bf40d43a8f0..4f0f974ecf6 100644
--- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
+++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
@@ -119,7 +119,7 @@ For better analysis, it's best to have the context of the metrics close to where
 
 ### Transparency and using compile
 
-For transparency and additional context, we recommend you have an easy way for the user to obtain the SQL that MetricFlow generates. Depending on what API you are using, you can do this by using our compile parameter. This is incredibly powerful because we want to be very transparent to the user about what we're doing and do not want to be a black box. This would be mostly beneficial to a technical user.
+For transparency and additional context, we recommend you have an easy way for the user to obtain the SQL that MetricFlow generates. Depending on what API you are using, you can do this by using our `compile` parameter. This is incredibly powerful and emphasizes transparency and openness, particularly for technically inclined users.
 
 
 ### Where filters and Optimization

From 2212c4893191eed9041fc406034d40d48cd6ad95 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 11:30:39 +0100
Subject: [PATCH 55/66] Update
 website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md

---
 .../docs/guides/dbt-ecosystem/sl-partner-integration-guide.md   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
index 4f0f974ecf6..b8041a5d197 100644
--- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
+++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
@@ -122,7 +122,7 @@ For better analysis, it's best to have the context of the metrics close to where
 For transparency and additional context, we recommend you have an easy way for the user to obtain the SQL that MetricFlow generates. Depending on what API you are using, you can do this by using our `compile` parameter. This is incredibly powerful and emphasizes transparency and openness, particularly for technically inclined users.
 
 
-### Where filters and Optimization
+### Where filters and optimization
 
 In the cases where our APIs support either a string or a filter list for the `where` clause, we always recommend that your application utilizes the filter list in order to gain maximum pushdown benefits. The `where` string may be more intuitive for users writing queries during testing, but it will not have the performance benefits of the filter list in a production environment.
 

From 504090fbbb006466e6b86338b037fce454fc2b0d Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 11:35:29 +0100
Subject: [PATCH 56/66] Update
 website/docs/docs/cloud/cloud-cli-installation.md

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

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index 5ce10b08355..3de2bbc694b 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -27,7 +27,7 @@ The dbt Cloud CLI is available in all [deployment regions](/docs/cloud/about-clo
 
 - Ensure you are using dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/dbt-versions/upgrade-core-in-cloud) to upgrade.
 - Avoid using SSH tunneling for [Postgres and Redshift](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) connections.
-- Avoid using [PrivateLink](/cloud/secure/about-privatelink).
+- Avoid using [PrivateLink](/docs/cloud/secure/about-privatelink).
 
 ## Install dbt Cloud CLI
 

From 69c13e39fb1908edbf91aa77cebdf6b9fdc83153 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirna.wong@fishtownanalytics.com>
Date: Wed, 25 Oct 2023 11:46:29 +0100
Subject: [PATCH 57/66] remove callout

---
 .../docs/guides/dbt-ecosystem/sl-partner-integration-guide.md | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
index b8041a5d197..6cc32a4c836 100644
--- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
+++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md
@@ -5,10 +5,6 @@ description: Learn about partner integration guidelines, roadmap, and connectivi
 ---
 
 
-import NewChanges from '/snippets/_new-sl-changes.md';
-
-<NewChanges/>
-
 To fit your tool within the world of the Semantic Layer, dbt Labs offers some best practice recommendations for how to expose metrics and allow users to interact with them seamlessly. 
 
 :::note

From 6897f67edbc93e2297877533a2a6e4dc391e3c36 Mon Sep 17 00:00:00 2001
From: mirnawong1 <mirna.wong@fishtownanalytics.com>
Date: Wed, 25 Oct 2023 13:17:58 +0100
Subject: [PATCH 58/66] turn to cards per PM

---
 .../avail-sl-integrations.md                  |   6 -
 website/snippets/_sl-partner-links.md         |  43 +-
 website/static/img/icons/delphi.svg           | 550 ++++++++++++++++++
 website/static/img/icons/push.svg             |  49 ++
 website/static/img/icons/white/delphi.svg     | 550 ++++++++++++++++++
 website/static/img/icons/white/push.svg       |  49 ++
 6 files changed, 1234 insertions(+), 13 deletions(-)
 create mode 100644 website/static/img/icons/delphi.svg
 create mode 100644 website/static/img/icons/push.svg
 create mode 100644 website/static/img/icons/white/delphi.svg
 create mode 100644 website/static/img/icons/white/push.svg

diff --git a/website/docs/docs/use-dbt-semantic-layer/avail-sl-integrations.md b/website/docs/docs/use-dbt-semantic-layer/avail-sl-integrations.md
index fb0136e29d8..22178a14b5b 100644
--- a/website/docs/docs/use-dbt-semantic-layer/avail-sl-integrations.md
+++ b/website/docs/docs/use-dbt-semantic-layer/avail-sl-integrations.md
@@ -20,12 +20,6 @@ import AvailIntegrations from '/snippets/_sl-partner-links.md';
 
 <AvailIntegrations/>
 
-## Other integrations
-
-You can also integrate the following tools with the dbt Semantic Layer:
-- [Push.ai](https://docs.push.ai/semantic-layer-integrations/dbt-semantic-layer)
-- [Delphi](delphihq.com)
-
 ### Custom integration
 
 - You can create custom integrations using different languages and tools. We support connecting with JDBC, ADBC, and GraphQL APIs. For more info, check out [our examples on GitHub](https://github.com/dbt-labs/example-semantic-layer-clients/).
diff --git a/website/snippets/_sl-partner-links.md b/website/snippets/_sl-partner-links.md
index ce2087bf380..435d5dc2773 100644
--- a/website/snippets/_sl-partner-links.md
+++ b/website/snippets/_sl-partner-links.md
@@ -1,6 +1,8 @@
 The following tools integrate with the dbt Semantic Layer:
 
-<div className="grid--3-col">
+<!-- do not change card order unless specified by both SL PM and Partnerships team-->
+
+<div className="grid--4-col">
 
  <Card
     title="Tableau (beta)"
@@ -12,13 +14,13 @@ The following tools integrate with the dbt Semantic Layer:
     title="Google Sheets (beta)"
     link="/docs/use-dbt-semantic-layer/gsheets"
     body="Discover how to connect to Google Sheets for querying metrics and collaborating with your team."
-    icon="google-sheets-logo-icon"/>  
+    icon="google-sheets-logo-icon"/>
 
   <div className="card-container">
     <Card
       title="Hex"
       link="https://learn.hex.tech/docs/connect-to-data/data-connections/dbt-integration#dbt-semantic-layer-integration"
-      body="Check out Hex's documentation to learn how to connect, analyze metrics, collaborate, and discover more data possibilities."
+      body="Check out how to connect, analyze metrics, collaborate, and discover more data possibilities."
       icon="hex"/>
     <a href="https://learn.hex.tech/docs/connect-to-data/data-connections/dbt-integration#dbt-semantic-layer-integration"
       className="external-link"
@@ -31,7 +33,7 @@ The following tools integrate with the dbt Semantic Layer:
 <div className="card-container">
   <Card
     title="KlipFolio Power Metrics"
-    body="Refer to KlipFolio's documentation to learn how to connect, and deliver a streamlined metrics catalog to your business users."
+    body="Learn how to connect, and deliver a streamlined metrics catalog to your business users."
     link="https://support.klipfolio.com/hc/en-us/articles/18164546900759-PowerMetrics-Adding-dbt-Semantic-Layer-metrics"
     icon="klipfolio"/>
     <a href="https://support.klipfolio.com/hc/en-us/articles/18164546900759-PowerMetrics-Adding-dbt-Semantic-Layer-metrics"
@@ -45,7 +47,7 @@ The following tools integrate with the dbt Semantic Layer:
 <div className="card-container">
   <Card
     title="Lightdash"
-    body="Refer to Lightdash's documentation to learn how to connect and query reliable metrics."
+    body="Check out how to connect, query, and consume reliable dbt metrics in real time "
     link="https://docs.lightdash.com/guides/dbt-semantic-layer/"
     icon="lightdash"/>
     <a href="https://docs.lightdash.com/guides/dbt-semantic-layer/"
@@ -59,7 +61,7 @@ The following tools integrate with the dbt Semantic Layer:
 <div className="card-container">
   <Card
     title="Mode"
-    body="Refer to Mode's documentation to learn how to connect, access, and get trustworthy metrics and insights."
+    body="Discover how to connect, access, and get trustworthy metrics and insights."
     link="https://mode.com/help/articles/supported-databases/#dbt-semantic-layer"
     icon="mode"/>
     <a href="https://mode.com/help/articles/supported-databases/#dbt-semantic-layer"
@@ -70,7 +72,34 @@ The following tools integrate with the dbt Semantic Layer:
     </a>
 </div>
 
-</div><br />
+<div className="card-container">
+  <Card
+    title="Push.ai"
+    body="Explore how to connect and use metrics to power reports and insights that drive change."
+    link="https://docs.push.ai/semantic-layer-integrations/dbt-semantic-layer"
+    icon="push"/>
+    <a href="https://docs.push.ai/semantic-layer-integrations/dbt-semantic-layer"
+    className="external-link"
+      target="_blank"
+      rel="noopener noreferrer">
+      <i className="fa fa-external-link"></i>
+    </a>
+</div>
 
+<div className="card-container">
+  <Card
+    title="Delphi"
+    body="Learn how to connect Delphi to the dbt Semantic Layer and access metrics from any integrated tool."
+    link="https://www.delphihq.com/integrations/dbt"
+    icon="delphi"/>
+    <a href="https://www.delphihq.com/integrations/dbt"
+    className="external-link"
+      target="_blank"
+      rel="noopener noreferrer">
+      <i className="fa fa-external-link"></i>
+    </a>
+</div>
+
+</div><br />
 
 Before you connect to these tools, you'll need to first [set up the dbt Semantic Layer](/docs/use-dbt-semantic-layer/setup-sl) and [generate a service token](/docs/dbt-cloud-apis/service-tokens) to create **Semantic Layer Only** and **Metadata Only** permissions.
diff --git a/website/static/img/icons/delphi.svg b/website/static/img/icons/delphi.svg
new file mode 100644
index 00000000000..a154b7dfa82
--- /dev/null
+++ b/website/static/img/icons/delphi.svg
@@ -0,0 +1,550 @@
+<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
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From eb4f00c65fb0f6df22bd2725c902b953303deec0 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 17:02:51 +0100
Subject: [PATCH 59/66] Update tableau.md

---
 website/docs/docs/use-dbt-semantic-layer/tableau.md | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/website/docs/docs/use-dbt-semantic-layer/tableau.md b/website/docs/docs/use-dbt-semantic-layer/tableau.md
index 2eba9d0c318..5ac3858c766 100644
--- a/website/docs/docs/use-dbt-semantic-layer/tableau.md
+++ b/website/docs/docs/use-dbt-semantic-layer/tableau.md
@@ -10,14 +10,16 @@ The Tableau integration with the dbt Semantic Layer is a [beta feature](/docs/db
 :::
 
 
-The Tableau integration allows you to use worksheets to query the Semantic Layer directly and produce your dashboards with trusted data.  This integration provides a live connection to the dbt Semantic Layer through Tableau Desktop.
+The Tableau integration allows you to use worksheets to query the Semantic Layer directly and produce your dashboards with trusted data.  
+
+This integration provides a live connection to the dbt Semantic Layer through Tableau Desktop. (Tableau Cloud or Tableau Server is not supported for this integration).
 
 ## Prerequisites
 
 1. You must have [Tableau Desktop](https://www.tableau.com/en-gb/products/desktop) installed
 2. Authenticate in Tableau Desktop (you can authenticate with a license, or credentials used to login to Tableau Server or Online)
 3. 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.
-4. You must 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)
+4. 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)
 
 
 ## Installing
@@ -38,7 +40,7 @@ The Tableau integration allows you to use worksheets to query the Semantic Layer
 
 Once you authenticate, the system will direct you to the data source page with all the metrics and dimensions configured in your Semantic Layer. 
 
-- From there, go directly to a worksheet in the bottom left hand corner.
+- From there, go directly to a worksheet in the bottom left-hand corner.
 - Then, you'll find all the metrics and dimensions that are available to query on the left-hand side of your window.
 
 Visit the [Tableau documentation](https://help.tableau.com/current/pro/desktop/en-us/gettingstarted_overview.htm) to learn more about how to use Tableau worksheets and dashboards.

From a7c5ab83c4f4681ddfa790b6d366f4f1a0d560b5 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 17:07:03 +0100
Subject: [PATCH 60/66] Update
 website/docs/docs/use-dbt-semantic-layer/tableau.md

---
 website/docs/docs/use-dbt-semantic-layer/tableau.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/use-dbt-semantic-layer/tableau.md b/website/docs/docs/use-dbt-semantic-layer/tableau.md
index 5ac3858c766..b7fd6c87f24 100644
--- a/website/docs/docs/use-dbt-semantic-layer/tableau.md
+++ b/website/docs/docs/use-dbt-semantic-layer/tableau.md
@@ -17,7 +17,7 @@ This integration provides a live connection to the dbt Semantic Layer through Ta
 ## Prerequisites
 
 1. You must have [Tableau Desktop](https://www.tableau.com/en-gb/products/desktop) installed
-2. Authenticate in Tableau Desktop (you can authenticate with a license, or credentials used to login to Tableau Server or Online)
+2. Log in to Tableau Desktop using either your license or the login details you use for Tableau Server or Tableau Online.
 3. 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.
 4. 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)
 

From e2abbfdf4aa801a319a8403228370a4b0f373be1 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 17:07:47 +0100
Subject: [PATCH 61/66] Update
 website/docs/docs/use-dbt-semantic-layer/tableau.md

---
 website/docs/docs/use-dbt-semantic-layer/tableau.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/use-dbt-semantic-layer/tableau.md b/website/docs/docs/use-dbt-semantic-layer/tableau.md
index b7fd6c87f24..9bc32ec3622 100644
--- a/website/docs/docs/use-dbt-semantic-layer/tableau.md
+++ b/website/docs/docs/use-dbt-semantic-layer/tableau.md
@@ -12,7 +12,7 @@ The Tableau integration with the dbt Semantic Layer is a [beta feature](/docs/db
 
 The Tableau integration allows you to use worksheets to query the Semantic Layer directly and produce your dashboards with trusted data.  
 
-This integration provides a live connection to the dbt Semantic Layer through Tableau Desktop. (Tableau Cloud or Tableau Server is not supported for this integration).
+This integration provides a live connection to the dbt Semantic Layer through Tableau Desktop.
 
 ## Prerequisites
 

From 26e4a494f26ea8cad03df18a75b4e1ec6b1d897c Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 17:17:54 +0100
Subject: [PATCH 62/66] Update sl-jdbc.md

creating pr to move roxi's changes to this repo, going to merge without separate approval as I've approved this pr in the internal repo already
---
 website/docs/docs/dbt-cloud-apis/sl-jdbc.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md
index 4d0d4f6d1a2..e10d057dc75 100644
--- a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md
+++ b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md
@@ -254,14 +254,14 @@ Where filters in API allow for a filter list or string. We recommend using the f
 
 Where Filters have a few objects that you can use:
 
-- `Dimension()` - This is used for any categorical or time dimensions. If used for a time dimension, granularity is required -  `Dimension('metric_time').grain('week')` or `Dimension('customer__country')`
+- `Dimension()` - Used for any categorical or time dimensions. If used for a time dimension, granularity is required -  `Dimension('metric_time').grain('week')` or `Dimension('customer__country')`
 
 - `Entity()` - Used for entities like primary and foreign keys - `Entity('order_id')`
 
 Note: If you prefer a more explicit path to create the `where` clause, you can optionally use the `TimeDimension` feature. This helps separate out categorical dimensions from time-related ones. The `TimeDimesion` input takes the time dimension name and also requires granularity, like this: `TimeDimension('metric_time', 'MONTH')`.
 
 
-Use the following example to query using a `where` filter with the string format:
+- Use the following example to query using a `where` filter with the string format:
 
 ```bash
 select * from {{
@@ -271,13 +271,13 @@ where="{{ Dimension('metric_time').grain('month')  }} >= '2017-03-09' AND {{ Dim
 }}
 ```
 
-Use the following example to query using a `where` filter with a filter list format:
+- (Recommended for better performance) Use the following example to query using a `where` filter with a filter list format:
 
 ```bash
 select * from {{
 semantic_layer.query(metrics=['food_order_amount', 'order_gross_profit'],
 group_by=[Dimension('metric_time').grain('month'),'customer__customer_type'],
-where=[{{ Dimension('metric_time').grain('month') }} >= '2017-03-09', {{ Dimension('customer__customer_type' }} in ('new'), {{ Entity('order_id') }} = 10])
+where=["{{ Dimension('metric_time').grain('month') }} >= '2017-03-09'", "{{ Dimension('customer__customer_type' }} in ('new')", "{{ Entity('order_id') }} = 10"]
 }}
 ```
 

From 49cc7875336c6397e2573c0d765e9dbc12b7b0bc Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Wed, 25 Oct 2023 17:36:26 +0100
Subject: [PATCH 63/66] Update cloud-cli-installation.md

remove link typo
---
 website/docs/docs/cloud/cloud-cli-installation.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md
index 3de2bbc694b..179af745685 100644
--- a/website/docs/docs/cloud/cloud-cli-installation.md
+++ b/website/docs/docs/cloud/cloud-cli-installation.md
@@ -19,7 +19,7 @@ dbt commands are run against dbt Cloud's infrastructure and benefit from:
 * [Automatic deferral](/docs/cloud/about-cloud-develop-defer) of build artifacts to your Cloud project's production environment. 
 * Speedier, lower-cost builds.
 * Support for dbt Mesh ([cross-project `ref`](/docs/collaborate/govern/project-dependencies)),
-https://github.com/dbt-labs/docs.getdbt.com/pull/4320* Significant platform improvements, to be released over the coming months.
+* Significant platform improvements, to be released over the coming months.
 
 
 ## Prerequisites 

From 519abc234a30b5ba2a8cdf08e2a48b6cb68185d6 Mon Sep 17 00:00:00 2001
From: Florian Eiden <florian.eiden@dbtlabs.com>
Date: Wed, 25 Oct 2023 09:45:33 -0700
Subject: [PATCH 64/66] Clarify applicability of EAT

---
 website/snippets/_cloud-environments-info.md | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/website/snippets/_cloud-environments-info.md b/website/snippets/_cloud-environments-info.md
index b0c8e86a2b5..39245b2f87c 100644
--- a/website/snippets/_cloud-environments-info.md
+++ b/website/snippets/_cloud-environments-info.md
@@ -47,10 +47,13 @@ For more info, check out this [FAQ page on this topic](/faqs/Environments/custom
 ### Extended attributes (Beta)
 
 :::important This feature is currently in beta
-
 Extended Attributes is currently in [beta](/docs/dbt-versions/product-lifecycles?) for select users and is subject to change.
 :::
 
+:::note 
+Extended attributes are retrieved and applied at runtime only, that is when a `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.
+:::
+
 Extended Attributes is a feature that allows users to set a flexible [profiles.yml](/docs/core/connect-data-platform/profiles.yml) snippet in their dbt Cloud Environment settings. It provides users with more control over environments (both deployment and development) and extends how dbt Cloud connects to the data platform within a given environment.
 
 Extended Attributes is a text box extension at the environment level that overrides connection or environment credentials, including any custom environment variables. You can set any YAML attributes that a dbt adapter accepts in its `profiles.yml`.

From 9de47f8533d81836ebdfc42f49f9260bbad15417 Mon Sep 17 00:00:00 2001
From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com>
Date: Wed, 25 Oct 2023 14:02:13 -0400
Subject: [PATCH 65/66] Update
 website/docs/docs/cloud/manage-access/set-up-sso-okta.md

---
 website/docs/docs/cloud/manage-access/set-up-sso-okta.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/docs/docs/cloud/manage-access/set-up-sso-okta.md b/website/docs/docs/cloud/manage-access/set-up-sso-okta.md
index cae592d2827..4079cc488c4 100644
--- a/website/docs/docs/cloud/manage-access/set-up-sso-okta.md
+++ b/website/docs/docs/cloud/manage-access/set-up-sso-okta.md
@@ -171,7 +171,7 @@ configured in the steps above.
 | **Log&nbsp;in&nbsp;with** | Okta |
 | **Identity&nbsp;Provider&nbsp;SSO&nbsp;Url** | Paste the **Identity Provider Single Sign-On URL** shown in the Okta setup instructions |
 | **Identity&nbsp;Provider&nbsp;Issuer** | Paste the **Identity Provider Issuer** shown in the Okta setup instructions |
-| **X.509&nbsp;Certificate** | Paste the **X.509 Certificate** shown in the Okta setup instructions; **Note:** When the certificate expires, an Okta admin will have to generate a new one to be pasted into dbt Cloud for uninterrupted application access |
+| **X.509&nbsp;Certificate** | Paste the **X.509 Certificate** shown in the Okta setup instructions; <br />**Note:** When the certificate expires, an Okta admin will have to generate a new one to be pasted into dbt Cloud for uninterrupted application access. |
 | **Slug** | Enter your desired login slug. Users will be able to log into dbt Cloud by navigating to `https://YOUR_ACCESS_URL/enterprise-login/LOGIN-SLUG`, replacing `YOUR_ACCESS_URL` with the [appropriate Access URL](/docs/cloud/about-cloud/regions-ip-addresses) for your region and plan. Login slugs must be unique across all dbt Cloud accounts, so pick a slug that uniquely identifies your company. |
 
 <Lightbox

From f2777417f31bf44846c03db65c3d366111fb27bf Mon Sep 17 00:00:00 2001
From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com>
Date: Wed, 25 Oct 2023 14:42:02 -0400
Subject: [PATCH 66/66] Update website/snippets/_cloud-environments-info.md

---
 website/snippets/_cloud-environments-info.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/website/snippets/_cloud-environments-info.md b/website/snippets/_cloud-environments-info.md
index 39245b2f87c..2488e1d6c17 100644
--- a/website/snippets/_cloud-environments-info.md
+++ b/website/snippets/_cloud-environments-info.md
@@ -51,7 +51,7 @@ Extended Attributes is currently in [beta](/docs/dbt-versions/product-lifecycles
 :::
 
 :::note 
-Extended attributes are retrieved and applied at runtime only, that is when a `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.
+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.
 :::
 
 Extended Attributes is a feature that allows users to set a flexible [profiles.yml](/docs/core/connect-data-platform/profiles.yml) snippet in their dbt Cloud Environment settings. It provides users with more control over environments (both deployment and development) and extends how dbt Cloud connects to the data platform within a given environment.