Designing Data-Intensive Applications: The Big Ideas Behind Reliable,…
Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. What are the right choices for your application?.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable,…
Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. What are the right choices for your application?.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable,…
Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. What are the right choices for your application?.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable,…
Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. What are the right choices for your application?.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
"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. Focusing on the subject area of computers, this book explores data modeling and design, as well as desktop applications and databases. With 614 pages, it offers valuable insights and practical guidance for designing data-intensive applications that are both reliable and scalable. Written in English and available in trade paperback format, this book is a valuable resource for students and professionals in the field of computer science.
Designing Machine Learning Systems By Chip Huyen (English, Paperback) New Book
"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 topics in machine theory, enterprise applications, and AI & semantics. Written in English, this textbook offers insights and practical guidance on designing machine learning systems for various applications. With the expertise of the author, Chip Huyen, this publication is a valuable resource for those interested in deepening their understanding of machine learning and its practical implications in business intelligence tools.