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Recommended reading «Designing Data-Intensive Applications»
26.02.2023
NoSQL… Big Data… Scalability… CAP Theorem… Eventual Consistency… Sharding…
Nice buzzwords, but how does the stuff actually work?
As software engineers, we need to build applications that are reliable, scalable and maintainable in the long run. We need to understand the range of available tools and their trade-offs. For that, we have to dig deeper than buzzwords.
This book will help you navigate the diverse and fast-changing landscape of technologies for storing and processing data. Martin Kleppmann compares a broad variety of tools and approaches, so that you can see the strengths and weaknesses of each, and decide what’s best for your application.
Designing-Data-Intensive-Applications by Martin Kleppmann
Book «Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems» by Martin Kleppmann
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming 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 you make sense of all these buzzwords?
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. Software keeps changing, but the fundamental principles remain the same. 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.