Deep Dive Into AWS Lake Formation
summary
Shows how to build a working secure data lake on S3 using AWS Lake Formation with three buckets landing / processed / published, ingest via Lake Formation incremental blueprints into Glue (daily cron), transform with Glue workflows, call Amazon Forecast (import, train, predict) and export results for Athena/QuickSight. Demonstrates Lake Formation’s column-level filtering and grantable access so a manager can hide PII while granting analysts queries, and shows audit events flowing to CloudTrail; the end-to-end pipeline runs as orchestrated workflows (demo run ≈ one hour) and succeeds.
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chapters (11)
- 0:00Introduction to Lake Formation
- 3:10Ingest and register data
- 7:36Demo of data ingestion
- 12:30Glue workflows for automation
- 15:43Security and access control
- 18:37Demo of access management
- 21:45How Lake Formation secures data
- 22:50Data discovery and collaboration
- 24:37Visualizing data with QuickSight
- 25:43Monitoring and auditing
- 28:11Closing and Q&A
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