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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Martin Kleppmann
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Description for Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
paperback. This book examines the key principles, algorithms, and trade-offs of data systems, using the internals of various popular software packages and frameworks as examples. Num Pages: 562 pages. BIC Classification: UMZ; UNA. Category: (XV) Technical / Manuals. Dimension: 233 x 178. .
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 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 ... Read more
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 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 ... Read more
Product Details
Publisher
O'Reilly Media
Format
Paperback
Publication date
2017
Condition
New
Number of Pages
562
Place of Publication
Sebastopol, United States
ISBN
9781449373320
SKU
V9781449373320
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-29
About Martin Kleppmann
Martin Kleppmann is a Senior Software Engineer at LinkedIn. He is a co-founder of Rapportive, a startup that was acquired by LinkedIn.
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