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. The major difference between a thing that might go wrong and a thing that cannot possibly go wrong is that when a thing that cannot possibly go wrong goes wrong it usually turns out to be impossible to get at or repair. Software keeps changing, but the fundamental principles remain the same. Replication - Designing Data-Intensive Applications Book Chapter 5. 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. Designing-Data-Intensive. 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. Gives nice overviews of different technologies and implementation options, with. Data is at the center of many challenges in system design today. Comprehensive book on best practices for building a data driven application.
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