From 8652519e427333f079850d12677d1bb8bd40cd57 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 28 Nov 2024 13:28:09 +0000 Subject: [PATCH] add optional oauth step --- website/docs/guides/bigquery-qs.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/website/docs/guides/bigquery-qs.md b/website/docs/guides/bigquery-qs.md index 0820c23934d..194b73f25bf 100644 --- a/website/docs/guides/bigquery-qs.md +++ b/website/docs/guides/bigquery-qs.md @@ -85,13 +85,14 @@ In order to let dbt connect to your warehouse, you'll need to generate a keyfile 3. Create a service account key for your new project from the [Service accounts page](https://console.cloud.google.com/iam-admin/serviceaccounts?walkthrough_id=iam--create-service-account-keys&start_index=1#step_index=1). For more information, refer to [Create a service account key](https://cloud.google.com/iam/docs/creating-managing-service-account-keys#creating) in the Google Cloud docs. When downloading the JSON file, make sure to use a filename you can easily remember. For example, `dbt-user-creds.json`. For security reasons, dbt Labs recommends that you protect this JSON file like you would your identity credentials; for example, don't check the JSON file into your version control software. ## Connect dbt Cloud to BigQuery​ -1. Create a new project in [dbt Cloud](/docs/cloud/about-cloud/access-regions-ip-addresses). Navigate to **Account settings** (by clicking on your account name in the left side menu), and click **+ New Project**. +1. Create a new project in [dbt Cloud](/docs/cloud/about-cloud/access-regions-ip-addresses). Navigate to **Account settings** (by clicking on your account name in the left side menu), and click **+ New project**. 2. Enter a project name and click **Continue**. 3. For the warehouse, click **BigQuery** then **Next** to set up your connection. 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. +6. Optional — dbt Cloud Enterprise plans can configure developer OAuth with BigQuery, providing an additional layer of security. For more information, refer to [Set up BigQuery OAuth](/docs/cloud/manage-access/set-up-bigquery-oauth). +7. Click **Test Connection**. This verifies that dbt Cloud can access your BigQuery account. +8. Click **Next** if the test succeeded. If it failed, you might need to go back and regenerate your BigQuery credentials. ## Set up a dbt Cloud managed repository