Owning Your Own (Data) Lake House
summary
Demonstrates an Amazon Redshift lake house that queries S3, Redshift and RDS without moving data by using Redshift Spectrum to push down SQL, federated queries to hit Postgres stores, and a Parquet export (UNLOAD) to write enriched results back to S3. Shows a working demo with the public 150M Amazon reviews set, loading 2014–15 into Redshift, leaving older years in S3, and returning correct UNIONed counts across both systems via JDBC/ODBC clients.
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chapters (6)
- 0:00Introduction and background
- 1:23Data trends in industry
- 14:38What is a data lake house
- 24:49Demo: Querying data lake with Redshift
- 35:54Choosing tools for analytics
- 36:57Q&A session
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