Utvidet returrett til 31. januar 2025

Designing Data-Intensive Applications

Om Designing Data-Intensive Applications

Designing Data-Intensive Applications is an insightful book by renowned author, Martin Kleppmann. Published in 2017 by O'Reilly Media, this book delves into the realm of big data, a genre that is becoming increasingly relevant in today's digitized world. Kleppmann presents a comprehensive guide to the intricate world of data-intensive applications, providing readers with a deep understanding of the design and architecture of such systems. This book is a must-read for anyone seeking to understand the complexities of managing data in modern applications. With its publication by O'Reilly Media, a leader in technical and technology-related publishing, you can be sure that the content is accurate, relevant, and timely.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9781449373320
  • Bindende:
  • Paperback
  • Sider:
  • 562
  • Utgitt:
  • 2. mai 2017
  • Dimensjoner:
  • 234x180x30 mm.
  • Vekt:
  • 1046 g.
  • BLACK NOVEMBER
  På lager
Leveringstid: 4-7 virkedager
Forventet levering: 5. desember 2024

Beskrivelse av Designing Data-Intensive Applications

Designing Data-Intensive Applications is an insightful book by renowned author, Martin Kleppmann. Published in 2017 by O'Reilly Media, this book delves into the realm of big data, a genre that is becoming increasingly relevant in today's digitized world. Kleppmann presents a comprehensive guide to the intricate world of data-intensive applications, providing readers with a deep understanding of the design and architecture of such systems. This book is a must-read for anyone seeking to understand the complexities of managing data in modern applications. With its publication by O'Reilly Media, a leader in technical and technology-related publishing, you can be sure that the content is accurate, relevant, and timely.

Utgivers beskrivelse av Designing Data-Intensive Applications

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.

Brukervurderinger av Designing Data-Intensive Applications



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