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Getting started with ClickHouse? 13 mistakes and how to avoid them

Quality: 9/10 Relevance: 8/10

Summary

The article lists 13 common getting-started mistakes with ClickHouse and offers practical guidance to avoid them, covering partitioning, inserts, mutations, semi-structured data, primary keys, and materialized views. It also notes how ClickHouse Cloud can simplify scaling and improve mutation/deduplication workflows for analytics workloads.

🚀 Service construit par Johan Denoyer