Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable
Product Category : Books. Pages : 611. About Jenson Online. A clean, cared for item that is unmarked and shows limited shelf wear. Condition : Very Good.
Sku: 260519004. Condition: Used: Very Good. Qty Available: 1.
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, 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.
This textbook covers both theory and hands-on exercises in equal measure.
“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. This trade paperback book delves into the subject area of data modeling and design, focusing on desktop applications and databases. With a length of 9.2 inches, height of 1.5 inches, and width of 6.9 inches, this 614-page book offers valuable insights and guidance for designing data-intensive applications. Written in English and originating from India, this textbook is a valuable resource for those interested in building reliable and scalable systems.
“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 data modeling and design, as well as desktop applications and databases, this book provides valuable insights and guidance for creating robust and scalable systems. With 614 pages of valuable content in English, this trade paperback is a must-read for anyone looking to enhance their understanding of data-intensive applications.
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Designing Data-Intensive Applications By Martin Kleppmann