Designing Data-Intensive Applications by Martin Kleppmann

Designing Data-Intensive Applications 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 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. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architecture

Martin Kleppmann is a Senior Software Engineer at LinkedIn. He is a co-founder of Rapportive, a startup that was acquired by LinkedIn.

SKU	Unavailable
ISBN 13	9781449373320
ISBN 10	1449373321
Title	Designing Data-Intensive Applications
Author	Martin Kleppmann
Condition	Unavailable
Binding Type	Paperback
Publisher	O'Reilly Media
Year published	2017-05-02
Number of pages	562
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note	Unavailable