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035 _a(OCoLC)ocn893895983
040 _aBTCTA
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050 0 0 _aQA76.76.A65
_bK612 2017
082 0 4 _a005.7
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_bKLE-D
100 1 _aKleppmann, Martin
245 1 0 _aDesigning data-intensive applications :
_bthe big ideas behind reliable, scalable, and maintainable systems
_cby Martin Kleppmann.
260 _aNew Delhi :
_bShroff Publishers,
_c©2017
300 _axix, 590 p. :
_bill., charts ;
_c24 cm.
500 _aIncludes index.
505 0 _aPart 1. Foundations of data systems. Reliable, scalable, and maintainable applications -- Data models and query languages -- Storage and retrieval -- Encoding and evolutuion -- Part 2. Distributed data. Replication -- Partitioning -- Transactions -- The trouble with distributed systems -- Consistency and consensus -- Part 3. Derived data. Batch processing -- Stream processing -- The future of data systems.
520 _aData 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.
650 0 _aWeb site development.
650 0 _aApplication software
_xDevelopment.
650 0 _aDatabase management.
650 7 _aApplication software
_xDevelopment.
_2fast
650 7 _aDatabase management.
_2fast
650 7 _aWeb site development.
_2fast
906 _a7
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_ccopycat
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942 _2ddc
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