Designing Data-Intensive Applications : The Big Ideas Martin Kleppmann O’Reilly

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Only includes what is pictured. See photos for condition.

Designing Data-Intensive Applications by Martin Kleppmann (2017, 1st Edition)

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“Designing Data-Intensive Applications” by Martin Kleppmann is a comprehensive textbook focusing on the principles of designing reliable, scalable, and maintainable systems. Published by O’Reilly Media, this first edition book is aimed at adult and further education levels, with an advanced level of content. The book covers data modeling and design, as well as desktop applications and databases, making it a valuable resource for anyone looking to enhance their understanding of data-intensive systems. With 614 pages and a focus on big ideas behind data-intensive applications, this textbook is a must-read for those interested in the field of computers and data management.

O’Reilly Designing Data-Intensive Applications 1st Ed Martin Kleppmann 2017 PB

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O’Reilly Designing Data-Intensive Applications 1st Ed Martin Kleppmann 2017 PB

Designing Data-Intensive Applications Martin Kleppmann O’Reilly PB 2017 Canada

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Genre/Topics: distributed systems, database design, data-intensive applications, big data infrastructure, scalability, reliability, consistency, fault tolerance, streaming and batch processing, and modern data engineering for software systems.

Designing Data-Intensive Applications : The Big Ideas Behind Reliable USA STOCK

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“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 topics in data modeling and design, focusing on how to build reliable and scalable desktop applications with databases. With 614 pages, this trade paperback is a valuable resource for anyone looking to learn about designing data-intensive applications in a practical and informative manner.

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

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Welcome to Anaira Enterprises your own Wholesale Books Store: Product Description 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 effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures About the Author: Martin is a researcher in distributed systems at the University of Cambridge. Previously he was a software engineer and entrepreneur at Internet companies including LinkedIn and Rapportive, where he worked on large-scale data infrastructure. In the process he learned a few things the hard way, and he hopes this book will save you from repeating the same mistakes.Martin is a regular conference speaker, blogger, and open source contributor. He believes that profound technical ideas should be accessible to everyone, and that deeper understanding will help us develop better software. SHIPPING:This transit time does not include the seller’s handling time. Transit time includes normal weekdays. Often Saturdays, Sundays, and major holidays are not included in transit time estimates. Business day does not include Sundays. Feedback Feedback & DSRs (Detailed Seller Ratings). We Strive for 100%Customer Satisfaction and we love to leave positive feedback’s for our buyers. Negative feedback is not a solution. So, we request you to contact us and give us a chance to resolve it asap. Thank You and Happy Shopping.

Designing Data-Intensive Applications Martin Kleppmann ~ NEW ~ Free Ship G3-67

July 1, 2026 0 Comments

✅ Highly respected software engineering reference covering scalable systems, databases, distributed systems, and modern application design. ✅ Pages are crisp, clean, and untouched. The photos represent the condition and quality of our inventory.

Designing Data-Intensive Applications : The Big Ideas Behind Reliable USA STOCK

July 1, 2026 0 Comments

It contains 614 pages of information written in English. The book covers topics such as data modeling, partitioning, replication, and distributed systems.

Designing Data-Intensive Applications : The Big Ideas Behind Reliable USA STOCK

July 1, 2026 0 Comments

It contains 614 pages of information written in English. The book covers topics such as data modeling, partitioning, replication, and distributed systems. NOTE: – IMAGES ARE FOR ILLUSTRATIONS ONLY.