Designing Data-Intensive Applications : The Big Ideas Behind Reliable USA STOCK
It contains 614 pages of information written in English. The book covers topics such as data modeling, partitioning, replication, and distributed systems.
It contains 614 pages of information written in English. The book covers topics such as data modeling, partitioning, replication, and distributed systems.
Sku: 260519004. Condition: Used: Very Good. Qty Available: 1.
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The product is a paperback book titled “Designing Data-Intensive Applications” by Martin Kleppmann, published in 2017. It falls under the categories of Textbooks, Textbooks, Education & Reference, and Books & Magazines. There are some yellow highlighting in the pages.
Designing Data-Intensive Applications: The Big Ideas behind reliable, scalable, and maintainable systems Condition: Brand new *** Free Expedited Shipping ***
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.
This is the definitive guide for software engineers, software architects, and systems developers looking to understand data processing, storage, and distributed systems architecture.
By Kleppmann, Martin.
Designing Data-Intensive Applications By Martin Kleppmann
“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.