Previously he was a software engineer and entrepreneur at Internet companies including LinkedIn and Rapportive, where he worked on large-scale data infrastructure. 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. Martin Kleppmann is a researcher in distributed systems and security at the University of Cambridge, and author of Designing Data-Intensive Applications (OReilly Media, 2017). 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. 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. Martin Kleppmann is the author of Data Intensive Applications, an O’Reilly book about how to use modern data tools to solve modern data problems.
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