Designing Data-Intensive Applications : The Big Ideas Behind Reliable PB
“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, Scalable,
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.
Designing Data-Intensive Applications: the Big Ideas behind Reliable, Scalable,
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.
“Designing Data-Intensive Applications Paperback .’
The SHU-001-A5 dimensions help you focus without a bulky distraction.
Designing Data-Intensive Applications Paperback
A nice touch with Big Boxer is the chapter titles being in a larger font.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…
This textbook includes case studies that bring the subject matter to life.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
The book covers data modeling and design, as well as desktop applications/databases, making it a valuable resource for those interested in computer-related subjects. With 614 pages, this trade paperback is written in English and provides insights on creating dependable and scalable systems for data-intensive applications.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…
What stands out about this textbook is the clear separation of chapters by theme.
Designing Data-Intensive Applications (2017, Trade Paperback)
Designing Data-Intensive Applications (2017, Trade Paperback)