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Term: 2017

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

Posted July 14, 2026 by & filed under .

The book is in good condition. Include some spoils, bent corners.

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

Posted July 14, 2026 by & filed under .

The book is in good condition. Include some spoils, bent corners.

The Sustainable City XII (Wit Transactions on Ecology and the Environment), C. A

Posted July 14, 2026 by & filed under .

Pages : 614. Condition : New.

BOARD REVIEW IN PREVENTIVE MEDICINE AND PUBLIC HEALTH By Gregory Schwaid *VG+*

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BOARD REVIEW IN PREVENTIVE MEDICINE AND PUBLIC HEALTH By Gregory Schwaid *Excellent Condition*.

The Passion-Driven Classroom

Posted July 14, 2026 by & filed under .

You are purchasing a Very Good copy of ‘The Passion-Driven Classroom’. Condition Notes: Cover may have light wear, pages in very good condition and binding is sturdy; may have other light shelf wear or creases.

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

Posted July 14, 2026 by & filed under .

You will find that this textbook uses real data sets for exercises.

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

Posted July 14, 2026 by & filed under .

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. 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. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

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

Posted July 14, 2026 by & filed under .

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, Scalab…

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. 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.

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 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.

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