A Guide to Databricks Data Governance & Security with Immuta
Sensitive data is the most valuable asset for analytics and data science. But if data teams can’t securely prepare it and maximize its utility for real-time access by analysts and data scientists, is it still as valuable?
In order to reap the full benefits of the Databricks Data Intelligence Platform, streamlining Databricks data governance at scale is a necessity.
This eBook, produced jointly by Databricks and Immuta, explores some of the most challenging parts of managing Databricks data governance and security. You’ll get step-by-step explanations of how to streamline secure Databricks data access using Immuta’s integration, with no additional overhead or performance impacts.
Specifically, this guide explores how to:
- Use sensitive data discovery to quickly identify, tag, and classify sensitive data, without risk of manual errors
- Implement scalable data access control with Immuta’s attribute-based access control model
- Enforce dynamic data masking techniques to protect PII, including privacy enhancing technologies (PETs)
- Enable continuous data monitoring to provide transparency, easily prove compliance, and proactively identify potential threats
Download the eBook to learn more about how to unlock the power of your data’s potential using Databricks with Immuta.
