Deploying An Azure Databricks Workspace: A Step-By-Step Guide
Step 1: In the Azure portal, select Create a resource > Analytics > Azure Databricks.
Step 2: 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, 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 East US 2. For other 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 |
Step 3: Select Review + Create, and then Create. The workspace creation takes a few minutes. During workspace creation, you can view the deployment status in Notifications.
- Once this process is finished, your user account is automatically added as an admin user in the workspace.
Step 4: 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.
Your next steps depend on whether you want to continue setting up your account organization and security or want to start building out data pipelines:
- Connect your Databricks workspace to external data sources. See Connect to data sources.
- Ingest your data into the workspace. See Ingest data into a Databricks lake house.
- To onboard data to your workspace in Databricks SQL, see Load data using streaming tables in Databricks SQL.
- To continuing building out your account organization and security, follow the steps in Get started with Azure Databricks administration.
How To Deploy An Azure Databricks Workspace?
Azure Databricks is an open cloud-based platform that helps organizations to analyze and process large amounts of data, build artificial intelligence (AI) models, and share their work. It is designed in such a way that it can easily handle complex data tasks at a large scale. Databricks helps user to connect with the cloud storage and security settings, so our data remains secure.
It also takes care of setting up and managing the necessary cloud infrastructure automatically. This platform help multiple teams to collaborate and work together in easy steps. Using the Azure Databricks, companies can unlock more brief knowledge about their data and create powerful applications without worrying about technical issues.