![]() 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. 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. Designing Data-Intensive Applications - The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Software keeps changing, but the fundamental principles remain the same. Designing Data-Intensive Applications by Martin Kleppmann In reality, most production systems are distributed: Kubernetes, DNS, and even web applications. ![]() ![]() 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. Martin Kleppmann, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 11 likes Like The moral of the story is that a NoSQL system may find itself accidentally reinventing SQL, albeit in disguise. ![]() Data is at the center of many challenges in system design today. ![]()
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