Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (English Edition) por Martin Kleppmann

November 18, 2018

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (English Edition) por Martin Kleppmann

Titulo del libro: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (English Edition)

Autor: Martin Kleppmann

Número de páginas: 624 páginas

Fecha de lanzamiento: March 16, 2017

Editor: O'Reilly Media

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Martin Kleppmann con Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (English Edition)

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (English Edition) por Martin Kleppmann fue vendido por EUR 23,44 cada copia. El libro publicado por O'Reilly Media. Contiene 624 el número de páginas.. Regístrese ahora para tener acceso a miles de libros disponibles para su descarga gratuita. El registro fue libre.

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