Condition Notes: Book is in very good condition and may include minimal underlining highlighting.
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Term: 2017
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
“Designing Data-Intensive Applications” by Martin Kleppmann is a comprehensive textbook published by O’Reilly Media in 2017. This book covers the big ideas behind reliable, scalable, and maintainable systems in the field of data modeling and design. With 614 pages, this trade paperback provides essential information for those interested in designing desktop applications and databases. Author Martin Kleppmann provides valuable insights and expertise in this subject area, making this textbook a valuable resource for students and professionals alike.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…
Condition Notes: This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…
Condition Notes: This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact.
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 textbook published by O’Reilly Media in 2017. The book covers topics related to data modeling and design, as well as desktop applications and databases. With a focus on big ideas behind reliable, scalable, and maintainable systems, this trade paperback book is written in English and spans 614 pages. It provides valuable insights for those interested in computer science and software engineering principles in the context of data-intensive applications.
Designing DataIntensive Applications The Big Ideas Behind
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 maintainability. In addition, we have an overwhelming variety 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 guide, 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. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
Designing DataIntensive Applications The Big Ideas Behind
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 maintainability. In addition, we have an overwhelming variety 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 guide, 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. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…
A solid, nice copy to enjoy.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalab…
A solid, nice copy to enjoy.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,
Readable, but has significant damage / tears. Has a remainder mark. paperback Used – Acceptable