Designing Data-Intensive Applications : The Big Ideas Behind Reliable USA STOCK
It contains 614 pages of information written in English. The book covers topics such as data modeling, partitioning, replication, and distributed systems.
It contains 614 pages of information written in English. The book covers topics such as data modeling, partitioning, replication, and distributed systems.
“Designing Data-Intensive Applications: The Big Ideas Behind Reliable PB” is a textbook written by Martin Kleppmann and published by O’Reilly Media, Incorporated in 2017. The book covers subjects such as data modeling and design, as well as desktop applications and databases. It is a trade paperback format, written in English, and has dimensions of 9.2 inches in length, 6.9 inches in width, and 1.5 inches in height, with a weight of 36.3 ounces. This book is a valuable resource for those interested in designing and building reliable data-intensive applications.
“Designing Data-Intensive Applications: The Big Ideas Behind Reliable PB” by Martin Kleppmann is a textbook published by O’Reilly Media in 2017. It focuses on data modeling and design, as well as desktop applications and databases. The book is a trade paperback with dimensions of 9.2 inches in length, 6.9 inches in width, and 1.5 inches in height. It weighs 36.3 ounces and is written in English. The author presents big ideas and concepts related to designing reliable and data-intensive applications, making it a valuable resource for those interested in the subject area 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.
“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.