Articles liés à Designing Data-intensive Applications: The Big Ideas...

Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable and Maintainable Systems - Couverture souple

Kleppmann, Martin; Riccomini, Chris

 
9781098119065: Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable and Maintainable Systems
Couverture souple
ISBN 10 : 1098119061 ISBN 13 : 9781098119065
Editeur : O'Reilly Media, 2026

Synopsis

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of tools and analytical systems, including relational databases, NoSQL datastores, plus data warehouses and data lakes. What are the right choices for your application? How do you make sense of all these buzzwords?

In this second edition, authors Martin Kleppmann and Chris Riccomini build on the foundation laid in the acclaimed first edition, integrating new technologies and emerging trends. You'll be guided through the maze of decisions and trade-offs involved in building a modern data system, from choosing the right tools like Spark and Flink to understanding the intricacies of data laws like the GDPR.

  • Peer under the hood of the systems you already use, and learn to use 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

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

Martin Kleppmann 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.



Chris Riccomini is a software engineer, startup investor, and author with 15+ years of experience at PayPal, LinkedIn, and WePay. He runs Materialized View Capital, where he invests in infrastructure startups. He is also the co-creator of Apache Samza and SlateDB, and co-author of The Missing README: A Guide for the New Software Engineer.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
O'Reilly Media
Date d'édition
2026
Langue
anglais
ISBN 10 
1098119061
ISBN 13 
9781098119065
Reliure
Broché
Numéro d'édition
2
Nombre de pages
650
Coordonnées du fabricant
O'Reilly
https://oreilly.com

1005 Gravenstein Highway North
Sebastopol
CA
95472
Etats-Unis
Personne responsable
gpsr@libri.de
gpsr@libri.de

Europaallee 1
Bad Hersfeld
36244
Allemagne