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. Software keeps changing, but the fundamental principles remain the same. Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann OReilly Media, 2017 - Computers - 590 pages 3 Reviews Reviews arent. The book contains a large number of references to further reading material for anyone who wants to go into more depth, ranging from books and research papers to blog posts, bug reports and tweets. 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. 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. This repository accompanies the book Designing Data-Intensive Applications by Martin Kleppmann, published by OReilly Media. What are the right choices for your application? How do you make sense of all these buzzwords? In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. Data is at the center of many challenges in system design today.
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