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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Marque : GENERIC
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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 systems, including relational databases, NoSQL datastores, data warehouses, and data lakes. There are cloud services, on...
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Description produit
Marque
GENERIC
Titre principal
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Editeur
O'Reilly Media
Type de produit
Paperback
Présentation du livre
paperback
Release date
3/24/2026 12:00:00 AM
Langue d'origine
English
ISBN
1098119061
Dimensions
7 x 2 x 9.19 inches
Nombre de pages de livre
670 pages
Langue - Librairie
English
Résumé
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 systems, including relational databases, NoSQL datastores, data warehouses, and data lakes. There are cloud services, on-premises services, and embedded databases. 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, learn how to choose the right tools for your needs, and understand the fundamentals of distributed systems.Peer under the hood of the systems you already use, and learn to use them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsLearn how major cloud services are designed for scalability, fault tolerance, and consistencyUnderstand the core principles upon which modern databases are built Read more
Auteur(s)
Martin Kleppmann, Chris Riccomini
Date de parution
3/24/2026 12:00:00 AM









