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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Martin Kleppmann

Designing-Data-Intensive.pdf
ISBN: 9781449373320 | 500 pages | 13 Mb

• Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
• Martin Kleppmann
• Page: 500
• Format: pdf, ePub, fb2, mobi
• ISBN: 9781449373320
• Publisher: O'Reilly Media, Incorporated

Download Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Google ebook downloads Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 9781449373320 by Martin Kleppmann English version

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.

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Chapter 1 discusses how to build reliable, scalable, and maintainable applications. You'll learn how to think about designing data systems, where errors  Designing Data-Intensive Applications: The Big Ideas Behind
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It looks at examples of successful data systems and discusses their THE BIG IDEAS BEHIND RELIABLE, SCALABLE, AND MAINTAINABLE  Big Data Analytics eBook - Pentaho
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann. (Paperback 

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