Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,
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What stands out about this textbook is the detailed diagrams that label every part.
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” is a comprehensive textbook authored by Martin Kleppmann, focusing on data modeling and design for desktop applications and databases. Published by O’Reilly Media in 2017, this trade paperback covers key concepts related to creating dependable and scalable systems. With 614 pages, this English-language publication delves into the intricacies of designing data-intensive applications for a reliable and efficient user experience.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,
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Designing Data-Intensive Applications by Martin Kleppmann, Chris Riccomini. Title Designing Data-Intensive Applications. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalab…
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Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. What are the right choices for your application?. How do you make sense of all these buzzwords?.
Data Engineering Book Bundle (5) – All Good Condition
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Includes 5 paperbacks in good condition. Automate the Boring Stuff with Python by Al Sweigart. Designing Data Intensive Applications by Martin Kleppmann. Data Pipelines Pocket Reference by James Densmore. The Data Warehouse Toolkit by Ralph Kimball and Margy Ross. Database Internals by Alex Petrov. All books are used but in good condition with light shelf wear. No major writing or highlighting. Perfect for anyone studying or working in data engineering, automation, or analytics. This collection covers Python scripting, distributed systems, modern data architecture, data pipelines, database design, and dimensional modeling.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable..
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Sku: 260519004. Condition: Used: Very Good. Qty Available: 1.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,
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Product Category : Books. Pages : 611. About Jenson Online. A clean, cared for item that is unmarked and shows limited shelf wear. Condition : Very Good.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable
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Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable
Designing Data-Intensive Applications :The Big Ideas Behind Reliable Systems757
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“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 : The Big Ideas Behind Reliable, Scalable,
|
0
“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.