designing data intensive applications by martin kleppmann

Like a specialized encyclopedia, it covers a broad field in considerable detail. I consider this book a mini-encyclopedia of modern data engineering. Peek behind the scenes of major online services, and learn from their architectures Understand the distributed systems research upon which modern databases are built Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity

Make informed decisions by identifying the strengths and weaknesses of different tools Peer under the hood of the systems you already use, and learn how to use and operate them more effectively 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. 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. 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.Data is at the center of many challenges in system design today.

Data is at the center of many challenges in system design today.

Designing data intensive applications by martin kleppmann