614 Pages

“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” 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.

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, Scalable, and Maintainable Systems” by Martin Kleppmann is a comprehensive textbook published by O’Reilly Media in 2017. Focusing on data modeling and design, as well as desktop applications and databases, this book provides valuable insights and guidance for creating robust and scalable systems. With 614 pages of valuable content in English, this trade paperback is a must-read for anyone looking to enhance their understanding of data-intensive applications.

Used Like New, no missing pages, no damage to binding, may have a remainder mark. Payment due within 24 hours or items will be closed and relisted. Immediate payment required.