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,.
This textbook is the one I used for my final year project research.
You will find that this textbook has a companion website with extra resources.
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.
Condition Notes: This books is in Very good condition.
Classification Notes : Oversized. Clean text -- NO writing, NO highlighting to text. NO international orders. Product Category : Books. 30 pages in the early chapters of this 596 pages features highlighting.
ISBN: 9781449373320. Condition: very_good.
"Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems" by Martin Kleppmann is a comprehensive textbook that covers the subject of data modeling and design for desktop applications and databases. Published by O'Reilly Media in 2017, this paperback book has 614 pages and is written in English. The book explores the concepts of reliability, scalability, and maintainability in the design of data-intensive applications, making it a valuable resource for computer science and technology students, as well as professionals in the field. With detailed insights and practical advice, this book provides a solid foundation for building robust and efficient systems.
Designing Data-Intensive Applications (2017, Trade Paperback)
"Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems" by Martin Kleppmann is a textbook published by O'Reilly Media in 2017. This book focuses on data modeling and design for desktop applications and databases, offering insights on how to create systems that are reliable, scalable, and easy to maintain. With 614 pages and written in English, this trade paperback provides a comprehensive guide for those interested in designing data-intensive applications.