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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

Free ebook download for ipod 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: The Big Ideas Behind
It looks at examples of successful data systems and discusses their key algorithms, basic Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Chapter 1: Reliable, Scalable, and Maintainable Applications Designing Data-Intensive Applications : The Big Ideas Behind - Hive
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Designing for Scalability with Erlang/OTP: Implementing Robust
Design and build complex, scalable commercial-grade systems with the Open Prime. Designing Data-Intensive Applications: The Big Ideas Behind Reliable,  designing data intensive applications the big ide - libri da leggere
leggere libri scaricare libri Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems | libridaleggere.co. Using logs to build a solid data infrastructure (or: why - Confluent
How does your database store data on disk reliably? large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log!

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