9781449373320

Notes: Stain on bottom edge and wrinkled pages. Sugarhouse Book Works, LLC presents. Qty Available: 1.

“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. The book covers data modeling and design, desktop applications, and databases, making it a valuable resource for students and professionals in the computer science field. With 614 pages of content, this trade paperback book delves into the big ideas behind creating dependable, expandable, and manageable data-intensive applications, offering valuable insights for anyone looking to enhance their understanding of this subject area.

A nice touch in this textbook is the checklist of learning outcomes at the start.

What are the right choices for your application?. How do you make sense of all these buzzwords?. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

“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 trade paperback book covers the subject of data modeling and design for desktop applications and databases. With 614 pages, it provides in-depth insights on creating efficient and robust data-intensive applications. Written in English, this book is a valuable resource for those interested in understanding the fundamental principles behind dependable and scalable systems.

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, 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 trade paperback book covers data modeling and design, as well as desktop applications and databases. With 614 pages, this book provides in-depth insights and practical guidance on designing data-intensive applications that are not only reliable but also scalable and maintainable. A valuable resource for anyone seeking to deepen their understanding of big data and the challenges of building complex systems.