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ISBN: 9781491903100 Read it now on the O’Reilly learning platform with a 10-day free trial. Designing data-intensive applications : the big ideas behind reliable, scalable, and maintainable systems. 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. Designing Data-Intensive Applications by Martin Kleppmann Released March 2017 Publisher (s): O'Reilly Media, Inc. Software keeps changing, but the fundamental principles remain the same. Read Designing Data-Intensive Applications The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann available from Rakuten. Designing Data-Intensive Applications The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Kleppmann, Martin Published by OReilly Media, Incorporated (2017) ISBN 10: 1449373321 ISBN 13: 9781449373320 New Softcover Quantity: 10 Seller: TextbookRush (Grandview Heights, OH, U.S.A. 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. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. What are the right choices for your application? How do you make sense of all these buzzwords? Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann 4.72 6,944 ratings673 reviews Data is at the center of many challenges in system design today.

In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Data is at the center of many challenges in system design today. A tag already exists with the provided branch name.

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