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Designing Data-Intensive Applications
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Langbeschreibung
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 mainteinability. In addition, we have an overwhelming variet 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 gjuide, 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.
Martin is a researcher in distributed systems at the University of Cambridge. Previously he was a software engineer and entrepreneur at Internet companies including LinkedIn and Rapportive, where he worked on large-scale data infrastructure. In the process he learned a few things the hard way, and he hopes this book will save you from repeating the same mistakes.
ISBN-13:
9781449373320
Veröffentl:
2017
Erscheinungsdatum:
01.04.2017
Seiten:
590
Autor:
Martin Kleppmann
Gewicht:
1100 g
Format:
233x174x35 mm
Sprache:
Englisch