Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
"O'Reilly Media, Inc.", 16 бер. 2017 р. - 616 стор.
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.
Відгуки відвідувачів - Написати рецензію
LibraryThing ReviewРецензія користувача - albertgoldfain - LibraryThing
Great non-technical review of the fundamentals. This book effectively highlights some of the major design challenges in modern distributed systems along with a catalog of modern solutions to these challenges. Читати огляд повністю
LibraryThing ReviewРецензія користувача - EmreSevinc - LibraryThing
I consider this book a mini-encyclopedia of modern data engineering. Like a specialized encyclopedia, it covers a broad field and in considerable detail. But it is not a practice or a cookbook for a ... Читати огляд повністю
Інші видання - Показати все
Designing Data-Intensive Applications: The Big Ideas Behind Reliable ...
Обмежений попередній перегляд - 2017