Theory and practice of using ClickHouse in real applications
summary
Overview of using ClickHouse as an analytical DBMS in real applications: why ClickHouse is better suited than MySQL/PostgreSQL or many NoSQL and commercial solutions for analytical workloads, and how it lowers the barrier to adopt columnar analytics. Covers practical theory and usage patterns for deploying and effectively using ClickHouse in high-load systems.
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chapters (6)
- 0:00Start
- 9:23The long and thorny path
- 23:57Basic optimization principles
- 24:44Company X (USA)
- 28:31How to do it in ClickHouse?
- 34:35Financial company Y
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