Condition Notes: Gently read. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving.
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✅ Highly respected software engineering reference covering scalable systems, databases, distributed systems, and modern application design. ✅ Pages are crisp, clean, and untouched. The photos represent the condition and quality…
“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…
You are purchasing a Very Good copy of ‘Data Modeling Essentials, Third Edition’. Condition Notes: Book is in very good condition and may include minimal underlining highlighting.
Data Modeling Essentials, Third Edition. Sku: 0126445516-4-36879385. Condition: Used: Acceptable. Qty Available: 1.
Notes: Item in very good condition!
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,…
“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…
“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…
The product is a textbook titled “Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by authors Martin Kleppmann and Chris Riccomini. Published by O’Reilly Media, it…
“Designing Machine Learning Systems” by Chip Huyen is a new trade paperback textbook published in 2022 by O’Reilly. This book is focused on the subject area of computers, specifically addressing…
