Data governance guide

This guide shows how to manage access to your data and objects in Databricks.

  • The Databricks Security and Trust Center provides information about the ways in which security is built into every layer of the Databricks Lakehouse Platform. The Security and Trust Center provides information that enables you to meet your regulatory needs while taking advantage of the Databricks Lakehouse Platform. Find the following types of information in the Security and Trust Center:

    • An overview and list of the security and governance features built into the platform.

    • Information about the compliance standards the platform meets on each cloud provider.

    • A due-diligence package to help you evaluate how Databricks helps you meet your compliance and regulatory needs.

    • An overview of Databricks’ privacy guidelines and how they are enforced.

    The information in this article supplements the Security and Trust Center.

  • Unity Catalog (Preview) is a secure metastore developed by Databricks. Unity Catalog centralizes metadata and governance of an organization’s data. With Unity Catalog, data governance rules scale with your needs, regardless of the number of workspaces or the business intelligence tools your organization uses. See Get started using Unity Catalog.

  • Table access control lets you apply data governance controls to your data.

  • Credential passthrough allows you to authenticate automatically to S3 buckets from Databricks clusters using the identity that you use to log in to Databricks.

  • Audit logs allow your enterprise to monitor details about usage patterns across your Databricks account and workspaces.

For information about securing your account, workspaces, and compute resources, see Security guide.

In this guide: