Deploy a workspace using the Azure Portal

This page describes how to deploy a workspace using the Azure Portal.

Use the portal to create an Azure Databricks workspace

1. Sign in to the Azure portal.

2. In the Azure portal, select Create a resource > Analytics > Azure Databricks.

3. Under Azure Databricks Service, provide the values to create a Databricks workspace.

   Property	Description
   Workspace name	Provide a name for your Databricks workspace
   Subscription	From the drop-down menu, select your Azure subscription.
   Resource group	Specify whether you want to create a new resource group or use an existing one. A resource group is a container that holds related resources for an Azure solution. For more information, see Azure Resource Group overview.
   Location	Select an available region. For available regions, see Azure services available by region.
   Pricing Tier	Choose between Standard, Premium, or Trial. For more information on these tiers, see Databricks pricing page.

4. Select Review + Create, and then Create. The workspace creation takes a few minutes. During workspace creation, you can view the deployment status in Notifications. After this process is finished, your user account is automatically added as an admin user in the workspace.

Note

When a workspace deployment fails, the workspace is still created in a failed state. Delete the failed workspace and create a new workspace that resolves the deployment errors. When you delete the failed workspace, the managed resource group and any successfully deployed resources are also deleted.

View workspace status

After you create a workspace, you can view its status on the Workspaces page.

• Provisioning: In progress. Wait a few minutes and refresh the page.
• Running: Successful workspace deployment.
• Failed: Failed deployment.
• Banned: Contact your Azure Databricks account team.
• Cancelling: In the process of cancellation.

Log into a workspace

1. Go to the account console and click the Workspaces icon.
2. On the row with your workspace, click Open.

Next steps

Now that you have deployed a workspace, you can start building out your data strategy. Databricks recommends the following articles:

• Add users, groups, and service principals to your workspace. Manage users, service principals, and groups.
• Learn about data governance and privileges in Azure Databricks. See What is Unity Catalog?.
• Connect your Databricks workspace to your external data sources. See Connect to data sources and external services.
• Ingest your data into the workspace. See Standard connectors in Lakeflow Connect.
• Learn about managing access to workspace objects like notebooks, compute, dashboards, queries. See Access control lists.