The Databricks Data Science & Engineering 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 Data Science & Engineering
Learn how to get started with Databricks Data Science & Engineering.
- Best practices
Learn best practices when using or administering Databricks.
- User guide
Learn how to use the Databricks Data Science & Engineering workspace.
- Data guide
Learn how to work with data in Databricks.
- Data engineering guide
Learn how to work with data processing tools in Databricks.
- Delta Lake and Delta Engine guide
Learn about the Delta Lake storage layer and optimizations available with Delta Lake on Databricks.
- Genomics guide
Learn how to work with genomic data using the Databricks Unified Analytics Platform for Genomics.
- Administration guide
Learn how to administer Databricks.
- Databricks security guide
Learn about how Databricks secures your data and privacy.
- Developer tools and guidance
Learn how to use Databricks developer tools and follow Databricks developer guidance.
Learn how to use the Databricks supported languages to perform collaborative data science and data analysis.
- API reference
Learn about the Databricks REST APIs.
- Release notes
Learn about Databricks releases.