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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,

Posted July 14, 2026 by & filed under .

Product Category : Books. Pages : 614. About Zebras Books. No writing or highlighting. Condition : Very Good.

Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,

Posted July 14, 2026 by & filed under .

“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.

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,

Posted July 14, 2026 by & filed under .

Product Subcategory : Data Modeling & Design (Books). Product Category : Books. Light wear and/or marks, sticker residue, to cover/case corners and boards, page edges if applicable. Condition : Very Good.

Designing Data-Intensive Applications: The Big Ideas Behind Reliable,…

Posted July 14, 2026 by & filed under .

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Kleppmann, Martin Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less

Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,

Posted July 14, 2026 by & filed under .

“Designing Data-Intensive Applications” by Martin Kleppmann is a comprehensive textbook published by O’Reilly Media in 2017. It explores the key concepts behind designing reliable, scalable, and maintainable systems, focusing on data modeling and design for desktop applications and databases. With 614 pages, this trade paperback book covers essential topics in English language and measures 9.2 inches in length, 6.9 inches in width, and 1.5 inches in height, weighing 36.3 ounces. It is a valuable resource for those looking to deepen their understanding of data-intensive applications.

Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable

Posted July 14, 2026 by & filed under .

Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable

Designing Data-Intensive Applications :The Big Ideas Behind Reliable Systems757

Posted July 14, 2026 by & filed under .

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable 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 desktop applications and databases. With 611 pages, this trade paperback publication offers valuable insights in English language for those looking to understand the principles behind creating reliable and scalable systems.

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,

Posted July 14, 2026 by & filed under .

Product Category : Books. Pages : 611. About Jenson Online. A clean, cared for item that is unmarked and shows limited shelf wear. Condition : Very Good.

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable..

Posted July 14, 2026 by & filed under .

Sku: 260519004. Condition: Used: Very Good. Qty Available: 1.

Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable

Posted July 14, 2026 by & filed under .

“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.

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