Designing Data Intensive Applications (O'Reilly)
Designing Data Intensive Applications (O'Reilly)
Monday, 03 April 2017

This book aims to show how to structure your applications to make them scalable, reliable, and maintainable in the long term. Author Martin Kleppmann examines the key principles, algorithms, and trade-offs of data systems. He examines the pros and cons of various technologies for processing and storing data.

<ASIN:1449373321>

Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

Author: Martin Kleppmann
Publisher: O'Reilly
Date: March 2017
Pages: 614
ISBN: 978-1449373320
Print: 1449373321
Kindle: B06XPJML5D
Audience:Software engineers
Level: intermediate
Category: Data Science

 

 

  • Look more deeply into the systems you already use, and learn how to use and operate them more effectively
  • Make informed decisions by identifying the strengths and weaknesses of different tools
  • Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
  • Understand the distributed systems research upon which modern databases are built
  • Peek behind the scenes of major online services, and learn from their architectures

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Pages: 982
ISBN: 978-0735658561
Audience: DBAs and SQL Developers
Rating: 4.7
Reviewer: Ian Stirk

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Authors: Paul Gries, Jennifer Campbell & Jason Montojo
Publisher: Pragmatic Bookshelf
Pages: 350
ISBN: 978-1937785451
Audience: Complete beginners to programming
Rating: 4
Reviewer: Mike James

 

Learn to program and learn computer science with Python 3.


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