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Breaking Out of the Proprietary Cage - Real-time Data Warehouses in Open Source
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- 1 Intro
- 2 What makes analytic applications special?
- 3 SQL data warehouses run analytic queries
- 4 What ClickHouse is not
- 5 Merge Tree is the workhorse table engine
- 6 Merge Tree data layout
- 7 Detailed storage layout within a single part /var/lib/clickhouse/data/airline/ontime
- 8 Adding CPUs boosts parallelized execution
- 9 Effect on storage is dramatic
- 10 Materialized views restructure/reduce data
- 11 Alternative pattern: Tiered storage
- 12 How do distributed queries work?
- 13 Pattern: Kafka-based ingestion pipelines
- 14 Alternative ingest pattern: Kafka engine
- 15 Pattern: Grafana visualization
- 16 Pattern: Operation on Kubernetes
