Articoli correlati a Designing Data-Intensive Applications: Big Ideas Behind...

Designing Data-Intensive Applications: Big Ideas Behind Reliable, Scalable, and Maintainable Systems - Brossura

Kleppmann, Martin

 
9781449373320: Designing Data-Intensive Applications: Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Brossura
ISBN 10: 1449373321 ISBN 13: 9781449373320
Casa editrice: O'Reilly Media, 2017

Sinossi

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.

  • 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 architectures

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

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.



Martin is a regular conference speaker, blogger, and open source contributor. He believes that profound technical ideas should be accessible to everyone, and that deeper understanding will help us develop better software.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
O'Reilly Media
Data di pubblicazione
2017
Lingua
Inglese
ISBN 10 
1449373321
ISBN 13 
9781449373320
Rilegatura
Copertina flessibile
Numero di pagine
400
Contatto del produttore
O'Reilly
https://oreilly.com

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