Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalab…
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?.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…
"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 a..
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,
What stands out about this textbook is the inclusion of historical context.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable
"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. P..
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Paperback
Title: Designing Data-Intensive Applications: The Big Ideas Behind Relia. Format: Paperback. 📖 Book Details 📦 Fast Dispatch! Author: Kleppmann, Martin. Publication Date: 2026.
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.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,
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.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalab…
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?.
Data Engineering Book Bundle (5) – All Good Condition
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 Ki..
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable..
Sku: 260519004. Condition: Used: Very Good. Qty Available: 1.