A serverless workspace is a Databricks workspace deployment in your account that comes pre-configured with serverless compute and default storage to provide a completely serverless experience. For guidance on using serverless workspaces, see Best practices for serverless workspaces.
RequirementsâThe serverless workspace must be deployed in a region that supports serverless compute. See Databricks clouds and regions.
An account admin must enable the serverless workspaces Public Preview in your account.
Have an account admin complete the following steps:
All workloads in serverless workspaces are powered by serverless compute. Serverless compute uses environment versions instead of traditional Databricks Runtime versions. This allows Databricks to deliver performance improvements, security enhancements, and bug fixes without requiring any code changes to workloads.
For information about the types of serverless compute available on Databricks, see Connect to serverless compute.
Storage in serverless workspacesâServerless workspaces come with default storage. Default storage provides you with a fully managed storage location that you can use in your workspace. For more information about default storage, see Default storage in serverless workspaces.
Using data in your cloud storageâYou can also create a connection between a cloud storage account and your serverless workspace. Among other things, this allows you to ingest raw data into your workspace, create and read managed tables in secure cloud storage, create external tables, and read and write unstructured data.
For instructions, see Connect to cloud object storage using Unity Catalog.
Create a serverless workspaceâIf you want to create a serverless workspace, you can do so from your Databricks account console.
Serverless workspaces are limited by both serverless compute limitations and default storage limitations:
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