[PDF] Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems download
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- Martin Kleppmann
- Page: 500
- Format: pdf, ePub, mobi, fb2
- ISBN: 9781449373320
- Publisher: O'Reilly Media, Incorporated
Ipad books not downloading Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Want to know how the best software engineers and architects structure their applications to make them scalable, reliable, and maintainable in the long term? This book examines the key principles, algorithms, and trade-offs of data systems, using the internals of various popular software packages and frameworks as examples. Tools at your disposal are evolving and demands on applications are increasing, but the principles behind them remain the same. You’ll learn how to determine what kind of tool is appropriate for which purpose, and how certain tools can be combined to form the foundation of a good application architecture. You’ll learn how to develop an intuition for what your systems are doing, so that you’re better able to track down any problems that arise.
Designing Data-Intensive Applications (2015 book) - Quora
an O'Reilly book by Martin Kleppmann (The Wild Boar Book) The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.
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Designing DataIntensive Applications The Big Ideas Behind
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann. (Paperback
Designing Data-Intensive Applications — an O'Reilly book by Martin
Book cover of Designing Data-Intensive Applications Big Data… we need to build applications that are reliable, scalable and maintainable in the long run. This book compares the fundamental ideas behind a broad variety of systems.
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