Databricks Data Science & Engineering guide

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.

• Languages

  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.