Designing Data-Intensive Applications: The Big Ideas Behind Reliable PB

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“Designing Data-Intensive Applications: The Big Ideas Behind Reliable PB” by Martin Kleppmann is a textbook published by O’Reilly Media in 2017. It focuses on data modeling and design, as well as desktop applications and databases. The book is a trade paperback with dimensions of 9.2 inches in length, 6.9 inches in width, and 1.5 inches in height. It weighs 36.3 ounces and is written in English. The author presents big ideas and concepts related to designing reliable and data-intensive applications, making it a valuable resource for those interested in the subject area of computers and data management.

Designing Data-Intensive Applications : The Big Ideas Behind Reliable PB

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“Designing Data-Intensive Applications: The Big Ideas Behind Reliable PB” is a textbook written by Martin Kleppmann and published by O’Reilly Media, Incorporated in 2017. The book covers subjects such as data modeling and design, as well as desktop applications and databases. It is a trade paperback format, written in English, and has dimensions of 9.2 inches in length, 6.9 inches in width, and 1.5 inches in height, with a weight of 36.3 ounces. This book is a valuable resource for those interested in designing and building reliable data-intensive applications.

R for Data Science 2nd Edition Wickham, Cetinkaya-Rundel, & Grolemund Like New

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The product is the second edition of “R for Data Science” by Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund. Published by O’Reilly Media, this textbook focuses on data modeling, design, visualization, processing, and mining. With a publication year of 2023, this trade paperback book offers 576 pages of content in English. It aims to guide readers through the process of importing, tidying, transforming, visualizing, and modeling data using R programming language. The book is a comprehensive resource for individuals looking to enhance their skills in data science and analysis.