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Designing Data–Intensive Applications

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en Limba Engleză Paperback – 14 Mar 2017

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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Specificații

ISBN-13: 9781449373320
ISBN-10: 1449373321
Pagini: 614
Dimensiuni: 177 x 232 x 32 mm
Greutate: 1.06 kg
Editura: O'Reilly

Notă biografică

Martin is a researcher in distributed systems at the University of Cambridge. Previously he was a software engineer and entrepreneur at Internet companies including LinkedIn and Rapportive, where he worked on large-scale data infrastructure. In the process he learned a few things the hard way, and he hopes this book will save you from repeating the same mistakes.



Martin is a regular conference speaker, blogger, and open source contributor. He believes that profound technical ideas should be accessible to everyone, and that deeper understanding will help us develop better software.