Databricks Workspace guide

The Databricks Workspace guide includes getting started tutorials, how-to guidance, and reference information to help data engineers, data scientists, and machine learning engineers get the most out of the Databricks collaborative analytics platform.

• Get started with Databricks Workspace

  Learn how to get started with the Databricks Workspace.

• Best practices

  Learn best practices when using or administering Databricks.

• Language roadmaps

  Learn how to use the Databricks supported languages to perform collaborative data science and data analysis.

• User guide

  Learn how to use the Databricks Workspace platform.

• Data guide

  Learn how to work with data in Databricks.

• Delta Lake and Delta Engine guide

  Learn about the Delta Lake storage layer and optimizations available with Delta Lake on Databricks.

• Machine learning and deep learning guide

  Learn about machine learning and deep learning capabilities in Databricks.

• MLflow guide

  Learn how to manage the end-to-end machine learning lifecycle.

• Genomics guide

  Learn how to work with genomic data using the Databricks Unified Analytics Platform for Genomics.

• Administration guide

  Learn how to administer Databricks.

• API reference

  Learn about the Databricks Workspace REST APIs.

• Release notes

  Learn about Databricks releases.