[netlify-build]

src/_data/sidenav/main.yml

@@ -358,10 +358,12 @@ sections:
     - section_title: Setup Guides
       slug: /unify/data-graph/setup-guides/
       section:
-      - path: /unify/data-graph/setup-guides/snowflake-setup/
-        title: Snowflake Setup
+      - path: /unify/data-graph/setup-guides/bigquery-setup/
+        title: BigQuery Data Graph Setup
       - path: /unify/data-graph/setup-guides/databricks-setup/
-        title: Databricks Setup
+        title: Databricks Data Graph Setup
+      - path: /unify/data-graph/setup-guides/snowflake-setup/
+        title: Snowflake Data Graph Setup
     - section_title: Linked Events 
       slug: /unify/data-graph/linked-events/
       section: 

src/unify/data-graph/setup-guides/BigQuery-setup.md

@@ -1,54 +1,89 @@
 ---
-title: BigQuery Setup
+title: BigQuery Data Graph Setup
 beta: true
 plan: unify
-hidden: true
 redirect_from:
   - '/unify/linked-profiles/setup-guides/BigQuery-setup'
 ---
 
 > info ""
-> At this time, you can only use BigQuery with Linked Events. 
+> BigQuery for Data Graph is in beta and Segment is actively working on this feature. Some functionality may change before it becomes generally available. This feature is governed by Segment’s [First Access and Beta Preview Terms](https://www.twilio.com/en-us/legal/tos){:target="_blank"}.
 
-On this page, you'll learn how to connect your BigQuery data warehouse to Segment. 
+Set up your BigQuery data warehouse to Segment for the [Data Graph](/docs/unify/data-graph/data-graph/).  
 
 
-## Set up BigQuery
-
+## Step 1: Roles and permissions
 > warning ""
-> You need to be an account admin to set up the Segment BigQuery connector as well as write permissions for the `__segment_reverse_etl` dataset. 
-
-To set up the Segment BigQuery connector:
+> You need to be an account admin to set up the Segment BigQuery connector as well as write permissions for the `__segment_reverse_etl` dataset.
 
-1. Navigate to **IAM & Admin > Service Accounts** in BigQuery.  
+To set the roles and permissions: 
+1. Navigate to **IAM & Admin > Service Accounts** in BigQuery.
 2. Click **+ Create Service Account** to create a new service account.
-3. Enter your **Service account name** and a description of what the account will do.
+3. Enter your Service account name and a description of what the account will do.
 4. Click **Create and Continue**.
-5. In the **Grant this service account access to project** section, select the [*BigQuery User*](https://cloud.google.com/bigquery/docs/access-control#bigquery.user){:target="_blank"} role to add.
-6. Click **+ Add another role** and add the *BigQuery Job User* role.
-7. Click **+ Add another role** and add the [*BigQuery Metadata Viewer*](https://cloud.google.com/bigquery/docs/access-control#bigquery.metadataViewer){:target="_blank"} role. 
-8. Click **Continue**, then click **Done**.
-9. Search for the service account you've just created.
-11. From your service account, click the three dots under **Actions** and select **Manage keys**.
-12. Click **Add Key > Create new key**.
-13. In the pop-up window, select **JSON** for the key type, and click **Create**. 
-14. Copy all the content within the file you've created and downloaded.
-15. Navigate to Segment and paste all the credentials you've just copied into the **Enter your credentials** section as you connect your warehouse destination.
-
-## Grant access to datasets and tables for enrichment
-
-Grant access to datasets and tables so that Segment can list datasets, tables, and columns, and create Linked Events.
-
-Grant
-- [`BigQuery Data Viewer`](https://cloud.google.com/bigquery/docs/access-control#bigquery.dataViewer){:target="_blank"} role <br>
-OR
-- Permissions:
-    - `bigquery.datasets.get`
-    - `bigquery.tables.list`
-    - `bigquery.tables.get`
-    - `bigquery.tables.getData`
-
-These can be scoped to projects or [datasets](https://cloud.google.com/bigquery/docs/control-access-to-resources-iam#grant_access_to_a_dataset){:target="_blank"}. 
+5. Click **+ Add another role** and add the *[BigQuery User](https://cloud.google.com/bigquery/docs/access-control#bigquery.user){:target="_blank"}* role.
+6. Click **Continue**, then click **Done**.
+7. Search for the service account you just created.
+8. From your service account, click the three dots under **Actions** and select **Manage keys**.
+9. Navigate to **Add Key > Create new key**.
+10. In the pop-up window, select **JSON** for the key type, and click **Create**. The file will download. 
+11. Copy all the content in the JSON file you created in the previous step, and save it for Step 5. 
+
+
+## Step 2: Grant read-only access for the Data Graph 
+Grant the [BigQuery Data Viewer](https://cloud.google.com/bigquery/docs/access-control#bigquery.dataViewer){:target="_blank"} role to the service account at the project level. Make sure to grant read-only access to the Profiles Sync project in case you have a separate project.
+
+To grant read-only access for the Data Graph: 
+1. Navigate to **IAM & Admin > IAM** in BigQuery.
+2. Search for the service account you just created.
+3. From your service account, click the **Edit principals pencil**.
+4. Click **ADD ANOTHER ROLE**.
+5. Select the **BigQuery Data Viewer role**.
+6. Click **Save**.
+
+## *(Optional)* Step 3: Restrict read-only access
+If you want to restrict access to specific datasets, grant the BigQuery Data Viewer role on datasets to the service account. Make sure to grant read-only access to the Profiles Sync dataset.
+
+To restrict read-only access:
+1. In the Explorer pane in BigQuery, expand your project and select a dataset.
+2. Navigate to **Sharing > Permissions**.
+3. Click **Add Principal**.
+4. Enter your service account in the New principals section.
+5. Select the **BigQuery Data Viewer** role in the **Select a role** section.
+6. Click **Save**.
+
+You can also run the following command:
+
+```
+GRANT `roles/bigquery.dataViewer` ON SCHEMA `YOUR_DATASET_NAME` TO "serviceAccount:<YOUR SERVICE ACCOUNT EMAIL>";
+```
+
+## Step 4: Validate permissions
+1. Navigate to **IAM & Admin > Service Accounts** in BigQuery.
+2. Search for the service account you’ve just created.
+3. From your service account, click the three dots under **Actions** and select **Manage permissions**.
+4. Click **View Access** and click **Continue**.
+5. Select a box with List resources within resource(s) matching your query.
+6. Click **Analyze**, then click **Run query**.
+
+## Step 5: Connect your warehouse to Segment
+1. Navigate to **Unify > Data Graph** in Segment. This should be a Unify space with Profiles Sync already set up.
+2. Click **Connect warehouse**.
+3. Select *BigQuery* as your warehouse type.
+4. Enter your warehouse credentials. Segment requires the following settings to connect to your BigQuery warehouse:
+   * **Service Account Credentials:** JSON credentials for a GCP Service Account that has BigQuery read/write access. This is the credential created in Step 1.
+   * **Data Location:** This specifies the primary data location. This can be either region or multi-region.
+5. Test your connection, then click **Save**.
+
+## Update user access for Segment Reverse ETL dataset
+If you ran Segment Reverse ETL in the project you are configuring as the Segment connection project, a Segment-managed dataset is already created and you need to provide the new Segment user access to the existing dataset. 
+
+Run the following SQL if you run into an error on the Segment app indicating that the user doesn’t have sufficient privileges on an existing `__segment_reverse_etl` dataset:
+
+```
+GRANT `roles/bigquery.dataEditor` ON SCHEMA `__segment_reverse_etl` TO "serviceAccount:<YOUR SERVICE ACCOUNT EMAIL>";
+```
+
+Grant the [BigQuery Data Editor](https://cloud.google.com/bigquery/docs/access-control#bigquery.dataEditor){:target="_blank"} role on the `__segment_reverse_etl` dataset to the service account. Note that the `__segment_reverse_etl` dataset is hidden in the console. 
+
 
-> info ""
-> To create Linked Events on your listed tables, Segment needs `bigquery.tables.get` and `bigquery.tables.getData` at dataset level. However, you can still scope `bigquery.tables.get` and `bigquery.tables.getData` to specific tables. See BigQuery's [docs](https://cloud.google.com/bigquery/docs/control-access-to-resources-iam#grant_access_to_a_table_or_view){:target="_blank"} for more info.

src/unify/data-graph/setup-guides/redshift-setup.md

@@ -1,5 +1,5 @@
 ---
-title: Redshift Setup
+title: Redshift Data Graph Setup
 beta: true
 plan: unify
 hidden: true

src/unify/data-graph/setup-guides/snowflake-setup.md

@@ -1,5 +1,5 @@
 ---
-title: Snowflake Setup
+title: Snowflake Data Graph Setup
 plan: unify
 redirect_from:
   - '/unify/linked-profiles/setup-guides/snowflake-setup'