Catalogs, Iceberg, and Delta: Building the Foundation for Lakehouse Analytics
summary
ClickHouse claims real‑time queries against Apache Iceberg and Delta Lake with subsecond freshness by using materialized views to sync a hot store and an S3 backed lake. A production internal warehouse pulls ~20 sources, powers an Agent House demo that runs multiquery retrievals in under five seconds, and shifts inserts from hours to milliseconds. The talk shows architecture diagrams, integration points, concrete tradeoffs, and customer stories that actually run today.
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chapters (9)
- 0:00Lakehouse analytics intro
- 1:10Data warehousing history
- 4:37Open lake formats vs lock-in
- 8:06Lake architecture & query engines
- 12:57Real-time analytics use cases
- 16:06Combining Data Lakes with Analytical Databases
- 22:42Future of open lake AI
- 30:03Modern data solutions pros/cons
- 32:51Resources & community
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