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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Paperback - 2017
by Martin Kleppmann
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- Title Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- Author Martin Kleppmann
- Binding Paperback
- Edition Paperback
- Pages 611
- Volumes 1
- Language ENG
- Publisher O'Reilly Media
- Date 2017-05-02
- Features Index
- ISBN 9781449373320 / 1449373321
- Weight 2.15 lbs (0.98 kg)
- Dimensions 9.1 x 6.9 x 1.2 in (23.11 x 17.53 x 3.05 cm)
- Library of Congress subjects Database management, Web site development
- Library of Congress Catalog Number 2017471021
- Dewey Decimal Code 005.7
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NOTE: NEW book shrink-wrapped and is shipped right away with item delivery in the advertised timeline. Contact us if you need any clarifications, best customer care, you get immediate reply/responses. Purchase with confidence. Purchase 3 0r more books and GET 20% discountBOOK DESCRIPTION:
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,… Read More
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NOTE: NEW book shrink-wrapped and is shipped right away with item delivery in the advertised timeline. Contact us if you need any clarifications, best customer care, you get immediate reply/responses. Purchase with confidence. BOOK DESCRIPTION: 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…
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