9781449373320-1449373321-Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

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

ISBN-13: 9781449373320
ISBN-10: 1449373321
Edition: 1
Author: Martin Kleppmann
Publication date: 2017
Publisher: O'Reilly Media
Format: Paperback 611 pages
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ISBN-13: 9781449373320
ISBN-10: 1449373321
Edition: 1
Author: Martin Kleppmann
Publication date: 2017
Publisher: O'Reilly Media
Format: Paperback 611 pages

Summary

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (ISBN-13: 9781449373320 and ISBN-10: 1449373321), written by authors Martin Kleppmann, was published by O'Reilly Media in 2017. With an overall rating of 4.0 stars, it's a notable title among other Data Modeling & Design (Databases & Big Data, MySQL, Databases, Software) books. You can easily purchase or rent Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Paperback) from BooksRun, along with many other new and used Data Modeling & Design books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $11.61.

Description

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?

In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. 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.

  • Peer under the hood of 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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