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

Suresh Gurung

 

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


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 effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures

Designing Data-Intensive Applications 

The Big Ideas Behind Reliable, Scalable, and Maintainable Systems By Martin Kleppmann


Publisher
O'Reilly Media
Published
March 2017
Copyright
2017
Edition
1
Title
Designing Data-Intensive Applications
Author
Martin Kleppmann
Imprint
O'Reilly Media
Language
English
Number of Pages
614 
Download File Format
PDF


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