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

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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-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

Publisher ‏ : ‎ Oreilly & Associates Inc
Publication date ‏ : ‎ 31 March 2026
Edition ‏ : ‎ 2nd
Language ‏ : ‎ English
Print length ‏ : ‎ 670 pages
ISBN-10 ‏ : ‎ 1098119061
ISBN-13 ‏ : ‎ 978-1098119065
Item Weight ‏ : ‎ 1 kg 150 g
Dimensions ‏ : ‎ 17.78 x 5.08 x 23.34 cm
Country of Origin ‏ : ‎ United Kingdom
Importer ‏ : ‎ Atlantic Publishers and Distributors (P) Ltd., 7/22, Ansari Road, Darya Ganj, New Delhi – 110002 INDIA, Email – customercare@atlanticbooks.com, Ph – 011-47320500
Packer ‏ : ‎ Atlantic Publishers and Distributors (P) Ltd., 7/22, Ansari Road, Darya Ganj, New Delhi – 110002 INDIA, Email – customercare@atlanticbooks.com, Ph – 011-47320500
Generic Name ‏ : ‎ Book
Best Sellers Rank: #163,423 in Books (See Top 100 in Books) #1 in Databases & Big Data #1 in Database Storage & Design
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