Case Study and Automation Strategies to Protect Sensitive Data
Steve Touw Co-Founder & CTO, Immuta
Greg Galloway Azure Data Analytics Architect, Artis Consulting
For data teams, migrating new workloads into Databricks – whether from Hadoop platforms, cloud compute layers, or on-premises databases – is a significant undertaking. A critical step in migrating workloads, especially sensitive data, is to provision access controls that enable compliance with internal rules or privacy regulations such as GDPR, CCPA, or HIPAA.
In this webinar, you'll explore:
- Various Databricks access control scenarios, including credential passthrough, table ACLs, and partner solutions, to automate security and privacy controls on sensitive data
- Automation strategies for managing user access and data movement, enforcing data policies, and implementing privacy-enhancing techniques (PETs)
- How a Fortune 500 company executed a complex, on-premises migration to Databricks Delta Lake to unify data analytics while complying with internal rules and privacy laws such as CCPA