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.
Only includes what is pictured. See photos for condition.
“Designing Data-Intensive Applications” by Martin Kleppmann is a comprehensive textbook focusing on the principles of designing reliable, scalable, and maintainable systems. Published by O’Reilly Media, this first edition book is aimed at adult and further education levels, with an advanced level of content. The book covers data modeling and design, as well as desktop applications and databases, making it a valuable resource for anyone looking to enhance their understanding of data-intensive systems. With 614 pages and a focus on big ideas behind data-intensive applications, this textbook is a must-read for those interested in the field of computers and data management.
✅ 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.
Notes: Item in very good condition!