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Designing Data-Intensive Applications
Designing Data-Intensive Applications
Designing Data-Intensive Applications
Designing Data-Intensive Applications
Designing Data-Intensive Applications
Designing Data-Intensive Applications

Designing Data-Intensive Applications

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Title:. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Condition: BRAND NEW. Format: Paperback Overview:. Designing Data-Intensive Applications is a practical, rigorously grounded guide for software engineers, data engineers, and system architects who are building the backbone of modern applications. From the very first pages, the book demystifies the big questions that keep data teams awake at night: how to keep data reliable as systems scale, how to balance consistency with availability, and how to design architectures that endure change. Kleppmann leads you through the core ideas that underpin reliable, scalable, and maintainable data systems—models of data, storage engines, and the anatomy of data flows—then dives into the hard, real-world trade-offs faced when choosing between batch and streaming processing, replication and partitioning, and the guarantees provided by different technologies. The narrative blends clear theor...

Designing Data-Intensive Applications

Title:. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Condition: BRAND NEW. Format: Paperback Overview:. Designing Data-Intensive Applications is a practical, rigorously grounded guide for software engineers, data engineers, and system architects who are building the backbone of modern applications. From the very first pages, the book demystifies the big questions that keep data teams awake at night: how to keep data reliable as systems scale, how to balance consistency with availability, and how to design architectures that endure change. Kleppmann leads you through the core ideas that underpin reliable, scalable, and maintainable data systems—models of data, storage engines, and the anatomy of data flows—then dives into the hard, real-world trade-offs faced when choosing between batch and streaming processing, replication and partitioning, and the guarantees provided by different technologies. The narrative blends clear theor...

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