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 by Martin Kleppmann, Chris Riccomini. Title Designing Data-Intensive Applications. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved.
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?.
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.
Sku: 260519004. Condition: Used: Very Good. Qty Available: 1.
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
“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” 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.
Product Subcategory : Data Modeling & Design (Books). Product Category : Books. Light wear and/or marks, sticker residue, to cover/case corners and boards, page edges if applicable. Condition : Very Good.