Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Newly adapted for audiobook listeners. Data is at the center of many challenges in system design today. Difficult problems need to be solved, such as scalability, consistency, reliability, efficiency and maintainability. Additionally, we have a wide 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 we make sense of all these buzzwords? In this practical, comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the advantages and disadvantages of different data processing and storage technologies. Software continues to evolve, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply these ideas in practice and how to fully exploit data in modern applications. Learn more
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