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NOTE: - IMAGES ARE FOR ILLUSTRATIONS ONLY.
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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 practi.
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It contains 614 pages of information written in English. The book covers topics such as data modeling, partitioning, replication, and distributed systems. NOTE: - IMAGES ARE FOR ILLUSTRATIONS ONLY.
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What are the right choices for your application?. How do you make sense of all these buzzwords?. 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.
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This book is a valuable resource for anyone looking to learn about designing data-intensive applications. The book is illustrated and has 590+ pages, making it a detailed resource for learners at all levels, including beginners and advanced learners.
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Fast & Friendly.
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