![]() ![]() 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. 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. 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. Previously he was a software engineer and entrepreneur at Internet companies. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. Martin is a researcher in distributed systems at the University of Cambridge. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, And Maintainable SystemsÄata is at the center of many challenges in system design today. ![]()
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