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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Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
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.
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 – VERY GOOD
Designing Data-Intensive Applications: The Big Ideas Behind Reliable – VERY GOOD Product Id:1449373321 Condition:USED_VERY_GOOD Notes:Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc…
Designing Data-Intensive Applications: The Big Ideas Behind Reliable – VERY GOOD
Designing Data-Intensive Applications: The Big Ideas Behind Reliable – VERY GOOD Product Id:1449373321 Condition:USED_VERY_GOOD Notes:Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc…
Designing Data Intensive Applications The Big Ideas Behind Reliable Scalable #L5
Explore the world of data-intensive applications with Martin Kleppmann's “Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems”. This textbook published by O'Reilly, Inc. in 2017 is a treasure trove for anyone interested in designing and developing data-intensive applications. With 614 pages of in-depth analysis and practical insights, this trade paperback provides a comprehensive understanding of the big ideas behind reliable, scalable, and maintainable systems. Whether you're a beginner or an experienced practitioner, this book will equip you with the necessary tools and knowledge to design data-intensive applications that meet your business needs.