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Data

Designing Data-Intensive Applications

The Big Ideas Behind Reliable, Scalable Systems

Martin Kleppmann

OCTA

Editor's spotlight

Designing Data-Intensive Applications

The Big Ideas Behind Reliable, Scalable Systems

4.8 (5,410)

The definitive tour of the trade-offs behind storage engines, replication, partitioning, and consensus in modern data systems.

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