Designing Data-Intensive Applications : The Big Ideas Behind Reliable New Stock

This textbook, "Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems" by Martin Kleppmann, provides in-depth knowledge of designing and implementing data systems that are reliable and can scale efficiently. It contains 614 pages of information written in English. This trade paperback publication by O'reilly, Incorporated is an excellent resource for anyone interested in data design and management. The book covers topics such as data modeling, partitioning, replication, and distributed systems. It is a valuable guide for those who want to learn how to design reliable and scalable data systems.

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