The original title is "Day 48 - Sharding Strategies in ClickHouse®"

Short summary

Sharding distributes datasets across multiple ClickHouse servers for horizontal scaling, with strategies including hash-based, range, time-series, geographic, and tenant-based approaches. Effective sharding requires high-cardinality keys and avoids data skew through careful monitoring. The article covers implementation examples, best practices, and how sharding differs from replication in addressing scalability vs. availability.

• •Sharding enables horizontal scaling by distributing data and parallel query execution across multiple servers
• •Six common strategies: hash-based, range, time-series, geographic, tenant-based, and hybrid partitioning
• •Critical factors: choosing high-cardinality sharding keys, monitoring data skew, and understanding query patterns

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