A Guide to Automated Data Security in Databricks Using Immuta
Sensitive data is the most valuable asset for analytics and data science. But if data engineers and architects can’t securely prepare it and maximize its utility for real-time access by analysts and data scientists, is it still as valuable?
This eBook, produced jointly by Databricks and Immuta, explores some of the most challenging parts of the data security and management process, and provides step-by-step explanations of how to streamline secure Databricks data access with Immuta. Specifically, you’ll learn about:
- Using sensitive data discovery to quickly identify, tag, and classify sensitive data, without risk of manual errors
- How to implement dynamic data access control with Immuta’s attribute-based access control model
- Ways to implement dynamic data masking techniques to protect PII, including privacy enhancing technologies (PETs)
- Why continuous data security monitoring can provide transparency and help 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.
