From 5f37452d2889e556a07f81ec8f242308f6750cec Mon Sep 17 00:00:00 2001 From: Natalie Fiann Date: Tue, 12 Nov 2024 13:38:25 +0000 Subject: [PATCH 1/3] Updated language from gear to account settings --- website/docs/docs/build/custom-target-names.md | 2 +- .../set-up-snowflake-native-app.md | 2 +- .../environment-permissions-setup.md | 2 +- .../manage-access/set-up-bigquery-oauth.md | 9 ++++++--- .../BQ-auth/dbt-cloud-bq-id-secret-02.png | Bin 0 -> 411204 bytes 5 files changed, 9 insertions(+), 6 deletions(-) create mode 100644 website/static/img/docs/dbt-cloud/using-dbt-cloud/dbt-cloud-enterprise/BQ-auth/dbt-cloud-bq-id-secret-02.png diff --git a/website/docs/docs/build/custom-target-names.md b/website/docs/docs/build/custom-target-names.md index ac7036de572..25e28cc1606 100644 --- a/website/docs/docs/build/custom-target-names.md +++ b/website/docs/docs/build/custom-target-names.md @@ -24,6 +24,6 @@ To set a custom target name for a job in dbt Cloud, configure the **Target Name* ## dbt Cloud IDE -When developing in dbt Cloud, you can set a custom target name in your development credentials. Go to your account (from the gear menu in the top right hand corner), select the project under **Credentials**, and update the target name. +When developing in dbt Cloud, you can set a custom target name in your development credentials. Navigate to your account name, above your profile icon on the left side panel, select **Account settings** from the menu. From there, click the project under **Credentials**, and update the target name. diff --git a/website/docs/docs/cloud-integrations/set-up-snowflake-native-app.md b/website/docs/docs/cloud-integrations/set-up-snowflake-native-app.md index 49e6f90e41f..3e48d59441f 100644 --- a/website/docs/docs/cloud-integrations/set-up-snowflake-native-app.md +++ b/website/docs/docs/cloud-integrations/set-up-snowflake-native-app.md @@ -45,7 +45,7 @@ The following are the prerequisites for dbt Cloud and Snowflake. Configure dbt Cloud and Snowflake Cortex to power the **Ask dbt** chatbot. 1. In dbt Cloud, browse to your Semantic Layer configurations. - 1. From the gear menu, select **Account settings**. In the left sidebar, select **Projects** and choose your dbt project from the project list. + 1. Navigate to the left hand side panel and click your account name. From there, select **Account settings**. In the left sidebar, select **Projects** and choose your dbt project from the project list. 1. In the **Project details** panel, click the **Edit Semantic Layer Configuration** link (which is below the **GraphQL URL** option). 1. In the **Semantic Layer Configuration Details** panel, identify the Snowflake credentials (which you'll use to access Snowflake Cortex) and the environment against which the Semantic Layer is run. Save the username, role, and the environment in a temporary location to use later on. diff --git a/website/docs/docs/cloud/manage-access/environment-permissions-setup.md b/website/docs/docs/cloud/manage-access/environment-permissions-setup.md index 1a3f2724819..5b41477e456 100644 --- a/website/docs/docs/cloud/manage-access/environment-permissions-setup.md +++ b/website/docs/docs/cloud/manage-access/environment-permissions-setup.md @@ -15,7 +15,7 @@ Environment-level permissions are not the same as account-level [role-based acce In your dbt Cloud account: -1. Open the **gear menu** and select **Account settings**. From the left-side menu, select **Groups & Licenses**. While you can edit existing groups, we recommend not altering the default `Everyone`, `Member`, and `Owner` groups. +1. Click your account name, above your profile icon on the left side panel, then select **Account settings**. From there, select **Groups & Licenses**. While you can edit existing groups, we recommend not altering the default `Everyone`, `Member`, and `Owner` groups. 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 9a356814111..e528e2ebc1f 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 @@ -25,13 +25,14 @@ To use BigQuery in the dbt Cloud IDE, all developers must: ### Locate the redirect URI value To get started, locate the connection's redirect URI for configuring BigQuery OAuth. To do so: - - Select the gear menu in the upper left corner and choose **Account settings** + - Navigate to your account name, above your profile icon on the left side panel + - Select **Account settings** from the menu - From the left sidebar, select **Projects** - Choose the project from the list - Select **Connection** to edit the connection details - Locate the **Redirect URI** field under the **OAuth 2.0 Settings** section. Copy this value to your clipboard to use later on. - + ### Creating a BigQuery OAuth 2.0 client ID and secret To get started, you need to create a client ID and secret for [authentication](https://cloud.google.com/bigquery/docs/authentication) with BigQuery. This client ID and secret will be stored in dbt Cloud to manage the OAuth connection between dbt Cloud users and BigQuery. @@ -64,10 +65,12 @@ Now that you have an OAuth app set up in BigQuery, you'll need to add the client ### Authenticating to BigQuery Once the BigQuery OAuth app is set up for a dbt Cloud project, each dbt Cloud user will need to authenticate with BigQuery in order to use the IDE. 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--- website/docs/docs/build/custom-target-names.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/custom-target-names.md b/website/docs/docs/build/custom-target-names.md index 25e28cc1606..218fec4283d 100644 --- a/website/docs/docs/build/custom-target-names.md +++ b/website/docs/docs/build/custom-target-names.md @@ -24,6 +24,6 @@ To set a custom target name for a job in dbt Cloud, configure the **Target Name* ## dbt Cloud IDE -When developing in dbt Cloud, you can set a custom target name in your development credentials. Navigate to your account name, above your profile icon on the left side panel, select **Account settings** from the menu. From there, click the project under **Credentials**, and update the target name. +When developing in dbt Cloud, you can set a custom target name in your development credentials. Click your account name above the profile icon in the left panel, select **Account settings**, then go to **Credentials**. Choose the project to update the target name. From 0176e0616696b31bfc7bdd79a0e265a4167b17ad Mon Sep 17 00:00:00 2001 From: nataliefiann <120089939+nataliefiann@users.noreply.github.com> Date: Tue, 12 Nov 2024 15:30:23 +0000 Subject: [PATCH 3/3] Update website/docs/docs/cloud-integrations/set-up-snowflake-native-app.md Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> --- .../docs/cloud-integrations/set-up-snowflake-native-app.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/cloud-integrations/set-up-snowflake-native-app.md b/website/docs/docs/cloud-integrations/set-up-snowflake-native-app.md index 3e48d59441f..48f54e4a4ea 100644 --- a/website/docs/docs/cloud-integrations/set-up-snowflake-native-app.md +++ b/website/docs/docs/cloud-integrations/set-up-snowflake-native-app.md @@ -45,7 +45,8 @@ The following are the prerequisites for dbt Cloud and Snowflake. Configure dbt Cloud and Snowflake Cortex to power the **Ask dbt** chatbot. 1. In dbt Cloud, browse to your Semantic Layer configurations. - 1. Navigate to the left hand side panel and click your account name. From there, select **Account settings**. In the left sidebar, select **Projects** and choose your dbt project from the project list. + 1. Navigate to the left hand side panel and click your account name. From there, select **Account settings**. + 1. In the left sidebar, select **Projects** and choose your dbt project from the project list. 1. In the **Project details** panel, click the **Edit Semantic Layer Configuration** link (which is below the **GraphQL URL** option). 1. In the **Semantic Layer Configuration Details** panel, identify the Snowflake credentials (which you'll use to access Snowflake Cortex) and the environment against which the Semantic Layer is run. Save the username, role, and the environment in a temporary location to use later on.