Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and mainteinability. In addition, we have an overwhelming variet of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive gjuide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. 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.
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Term: 9781449373320
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…
Condition Notes: Used – Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes and highlighting, but the text cannot be obscured or unreadable.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…
Condition Notes: Used – Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes and highlighting, but the text cannot be obscured or unreadable.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable – VERY GOOD
Designing Data-Intensive Applications: The Big Ideas Behind Reliable – VERY GOOD.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable – VERY GOOD
Designing Data-Intensive Applications: The Big Ideas Behind Reliable – VERY GOOD.
Designing Data-Intensive Applications (Chinese Version)
数据密集型应用系统设计，正版fast usps shipping
Designing Data-Intensive Applications (Chinese Version)
数据密集型应用系统设计，正版fast usps shipping
Designing Data-Intensive Applications (Chinese Version)
数据密集型应用系统设计，正版fast usps shipping
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 detailed textbook published by O’Reilly Media in 2017. Focused on data modeling and design, this 614-page trade paperback offers valuable insights and practical guidance for creating dependable and scalable desktop applications and databases. With a focus on big ideas and real-world applications, this book is a must-have for those interested in making their data-driven systems more efficient and effective.
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 detailed textbook published by O’Reilly Media in 2017. Focused on data modeling and design, this 614-page trade paperback offers valuable insights and practical guidance for creating dependable and scalable desktop applications and databases. With a focus on big ideas and real-world applications, this book is a must-have for those interested in making their data-driven systems more efficient and effective.