Designing Data-Intensive Applications : The Big Ideas Behind Reliable PB
18 Aug 2026

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

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“Designing Data-Intensive Applications: The Big Ideas Behind Reliable PB” is a textbook written by Martin Kleppmann and published by O’Reilly Media, Incorporated in 2017. The book covers subjects such as data modeling and design, as well as desktop applications and databases. It is a trade paperback format, written in English, and has dimensions of 9.2 inches in length, 6.9 inches in width, and 1.5 inches in height, with a weight of 36.3 ounces. This book is a valuable resource for those interested in designing and building reliable data-intensive applications.

Lehne’s Pharmacotherapeutics for Advanced Practice Nurses and Physician PB
18 Aug 2026

Lehne’s Pharmacotherapeutics for Advanced Practice Nurses and Physician PB

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Lehne’s Pharmacotherapeutics is a comprehensive textbook for advanced practice nurses and physicians, providing detailed information on various medical subjects related to pharmacology. Published by Elsevier-Health Sciences Division in 2017, this 3rd edition book is written in English and offers a trade paperback format for easy reference. With a length of 10.9 inches and a width of 8.5 inches, the book covers a range of topics within nursing and general medicine, making it a valuable resource for professionals and students in the field. Authored by Jacqueline Burchum and Laura D. Rosenthal, this textbook is designed for advanced-level learning and understanding of pharmacotherapeutics.

Designing Data-Intensive Applicatio…, Martin Kleppman
18 Aug 2026

Designing Data-Intensive Applicatio…, Martin Kleppman

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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 REL… Martin Kleppm
18 Aug 2026

DESIGNING DATA-INTENSIVE APPLICATIONS: THE BIG IDEAS BEHIND REL… Martin Kleppm

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Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
18 Aug 2026

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

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“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.

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…
18 Aug 2026

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

by | | 0

“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,
18 Aug 2026

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

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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