Secure Modern Data Lakes - A Primer
summary
Modern data lakes host hundreds of sources and explode in scale — speakers cite ~400 sources per enterprise, sevenfold workload growth, 5+ petabytes in one case and 100,000+ tables to monitor — and native controls (SSO MFA RBAC row/column masking BYOK) are necessary but insufficient. Practical steps include sensitive data discovery at scale, inventorying and classifying data, enforcing least privilege, tracking user privileges, adopting continuous discovery and automated fixes such as auto-remediation to cut exposure and reclaim unused access after an initial audit reveals surprises like 3x more data and widespread PII access.
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chapters (11)
- 0:00Modern data lake security intro
- 1:47Data infrastructure evolution
- 8:11Data lake architecture controls
- 13:52Securing data lakes challenges
- 21:41Data lake operational hurdles
- 26:09Solutions for data lake security
- 31:27DSPM strategies evaluation
- 32:10Data lake security failures
- 37:05Best practices for data lakes
- 43:22Action plan for data teams
- 46:10Summary and future outlook
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