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AI Summary: A foundational guide that demystifies the underlying principles and trade-offs of modern distributed data systems, enabling engineers to design scalable and reliable architectures.

Book2026-03-16•Source ↗•300 attns247 checkouts
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Martin Kleppmann

ABSTRACT

Data is at the center of many challenges in system design today. This book provides a comprehensive overview of the algorithms and principles behind modern databases and distributed systems. It breaks down complex concepts like replication, partitioning, consistency, and consensus into digestible explanations. By comparing the inner workings of different technologies, it empowers engineers to make informed architectural decisions.

#software-architecture#ai-engineering#data-engineering📋 al:best-ai-engineering-books-2025#distributed-systems#system-design

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