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

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Description

Data is at the center of many challenges in system design today. Difficult issues want 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 are making sense of these types of buzzwords? In this practical and comprehensive guide, creator Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of more than a few technologies for processing and storing data. Software assists in keeping changing, but the fundamental principles remain the same. With this book, software engineers and architects will discover ways 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 discover ways 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 Remember the distributed systems research upon which modern databases are built Peek in the back of the scenes of major online products and services, and learn from their architectures

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