Designing Data-Intensive Applications

Designing Data Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann has rapidly become the definitive reference for software engineers working with data systems. Kleppmann provides a thorough and intellectually honest treatment of the principles, trade offs, and internal mechanics of databases, distributed systems, stream processing, and storage engines. Topics covered include data models, storage engines (B-trees vs LSM trees), replication, partitioning, transactions, consensus algorithms, batch processing, and stream processing. Rather than advocating for a particular technology, Kleppmann equips readers to critically evaluate any data system and make well reasoned architectural decisions. Widely regarded as the best technical book published in the last decade.