Databricks Data Governance


       Databricks Data Governance

Databricks offers features and tools to help organizations implement data governance practices. Here’s a breakdown of key points:

What is Data Governance?

Data governance is a set of policies, processes, and tools to manage an organization’s data throughout its lifecycle. It ensures data quality, security, and compliance with regulations. It allows you to get the most out of your data while keeping it safe and reliable.

How Databricks Helps

  • Unity Catalog: This is a central registry for managing data and AI assets, including tables, models, and more. It simplifies access control and auditing across your workspaces. Consider it a central library for all your data, with clear rules on who can access what.
  • Audit Logging: Databricks diligently tracks user activity and data-sharing events. This comprehensive tracking allows you to monitor data usage and ensure compliance, providing a detailed log of every time someone borrows a book from your data library, giving you peace of mind about data compliance. Data Sharing with Governance:  Databricks Sharing allows you to securely share data with others inside or outside your organization while maintaining control and visibility. This is like lending out a book from your data library but with restrictions on who can see it and what they can do with it.

Additional Resources

Databricks Training Demo Day 1 Video:

You can find more information about Databricks Training in this Dtabricks Docs Link



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