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010 _a 2017471021
020 _a9781449373320
_qpaperback
035 _a(OCoLC)ocn893895983
040 _aBTCTA
_beng
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050 0 0 _aQA76.76.A65
_bK612 2017
082 0 4 _a005.3 KL.D 2017
_223
100 1 _aKleppmann, Martin,
_eauthor.
245 1 0 _aDesigning data-intensive applications :
_bthe big ideas behind reliable, scalable, and maintainable systems /
_cMartin Kleppmann.
250 _aFirst edition.
264 1 _aBeijing :
_bO'Reilly,
_c2017.
300 _axix, 590 pages :
_billustrations, charts ;
_c24 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and 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 0 _aApplication software
_xDevelopment.
856 4 1 _uhttps://ebookcentral.proquest.com/lib/coventry/detail.action?docID=4825244&query=Designing+data-intensive+applications
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