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Classroom Contents
Small is Beautiful - Using ClickHouse Data Warehouse for Edge Analytics
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- 1 Intro
- 2 What do analytic databases do?
- 3 Key features of ClickHouse
- 4 ClickHouse builds and installation Platforms
- 5 Merge Tree is the workhorse table engine
- 6 Merge Tree data layout
- 7 Adding CPUs boosts parallelized execution
- 8 Effect of codecs + ZSTD compression
- 9 From analytic server to analytic application
- 10 Kubernetes offers a flexible platform
- 11 ClickHouse scaling: shards and replicas Replicas concurrency
- 12 Operators encapsulate deployment logic
- 13 Setting up a data warehouse--the basics
- 14 Integrating edge and cloud environments
