Martin Kleppmann's Designing Data-Intensive Applications offers a profound exploration of the architectural principles and engineering challenges underlying modern data systems. The book addresses how to build applications that manage large volumes of data reliably, scalably, and with maintainability in mind. At its core, the work is an essential guide for software engineers, system architects, and technology leaders who aim to master the complexity of distributed data systems in an era dominated by big data and cloud computing.

• Data systems must prioritize reliability, scalability, and maintainability to meet the demands of real-world applications.
• Storage engines...
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