What are the right choices for your application?. How do you make sense of all these buzzwords?. 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.
This is the definitive guide for software engineers, software architects, and systems developers looking to understand data processing, storage, and distributed systems architecture.
By Kleppmann, Martin.
Designing Data-Intensive Applications By Martin Kleppmann
“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by Martin Kleppmann is a comprehensive textbook published by O’Reilly Media in 2017. The book covers topics in data modeling and design, focusing on how to build reliable and scalable desktop applications with databases. With 614 pages, this trade paperback is a valuable resource for anyone looking to learn about designing data-intensive applications in a practical and informative manner.
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✅ Highly respected software engineering reference covering scalable systems, databases, distributed systems, and modern application design. ✅ Pages are crisp, clean, and untouched. The photos represent the condition and quality of our inventory.
Genre/Topics: distributed systems, database design, data-intensive applications, big data infrastructure, scalability, reliability, consistency, fault tolerance, streaming and batch processing, and modern data engineering for software systems.
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