"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. Focusing on the subject area of computers, this book explores data modeling and design, as well as desktop applications and databases. With 614 pages, it offers valuable insights and practical guidance for designing data-intensive applications that are both reliable and scalable. Written in English and available in trade paperback format, this book is a valuable resource for students and professionals in the field of computer science.
| Subject Area | Computers |
| Publication Name | O'Reilly |
| Item Length | 9.2 in |
| Publication Year | 2017 |
| Type | Textbook |
| Language | English |
| Item Height | 1.5 in |
| Author | Martin Kleppmann |
| Item Weight | 36.3 Oz |
| Item Width | 6.9 in |
| Number Of Pages | 614 Pages |
| ISBN | 9781449373320 |
“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. Focusing on the subject area of computers, this book explores data modeling and design, as well as desktop applications and databases. With 614 pages, it offers valuable insights and practical guidance for designing data-intensive applications that are both reliable and scalable. Written in English and available in trade paperback format, this book is a valuable resource for students and professionals in the field of computer science.
