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.