Donated item. Average wear from use. Book is in good condition. Spine and cover intact. Pages clean and tight. Cover shows dents and wear.
The book is in good condition. Include some spoils, bent corners.
“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” is a comprehensive textbook authored by Martin Kleppmann, focusing on data modeling and design for desktop applications and databases. Published by O’Reilly Media in 2017, this trade paperback covers key concepts related to creating dependable and scalable systems. With 614 pages, this English-language publication delves into the intricacies of designing data-intensive applications for a reliable and efficient user experience.
“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. This trade paperback book delves into the subject area of data modeling and design, focusing on desktop applications and databases. With a length of 9.2 inches, height of 1.5 inches, and width of 6.9 inches, this 614-page book offers valuable insights and guidance for designing data-intensive applications. Written in English and originating from India, this textbook is a valuable resource for those interested in building reliable and scalable systems.
The DAMA-DMBOK: Data Management Body of Knowledge 2nd Edition is a comprehensive textbook authored by Dama Dama International. Covering subjects in Computers, Business & Economics, this publication offers in-depth information on data management, data processing, and databases in a general sense. With 626 pages, this trade paperback book is ideal for adult and further education students looking to learn about the intricacies of data management in various industries. Published in 2017 by Technics Publications, LLC, this textbook is a valuable resource for those interested in delving deeper into the world of data management.
With 626 pages, this textbook is a valuable resource for students and professionals interested in the fields of data processing, databases, and information technology.
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