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Designing data-intensive applications :the big ideas behind reliable, scalable, and maintainable systems /

Designing data-intensive applications :the big ideas behind reliable, scalable, and maintainable systems /

作者 : Kleppmann, Martin.

出版社 : O'Reilly Media,

出版年 : 2017

ISBN:9781449373320

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MT0134012 麻豆開架閱覽區 麻豆開架閱覽區 W 005.7 K64 2017 在架   西文書   0   預約
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書名 : Designing data-intensive applications :the big ideas behind reliable, scalable, and maintainable systems /

紀錄類型 : 書目-語言資料,印刷品: 單行本

正題名[資料類型標示]/作者 : Designing data-intensive applications :Martin Kleppmann.

其他題名 : the big ideas behind reliable, scalable, and maintainable systems /

作者 : Kleppmann, Martin.

版本項 : First edition.

出版者 : Boston :O'Reilly Media,2017.

面頁冊數 : xix, 590 p. :ill., charts ;24 cm.

附註 : Includes index.

內容註 : Part 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 futur

標題 : Web site development.

ISBN : 9781449373320 (pbk.) :


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245 10$aDesigning data-intensive applications :$bthe big ideas behind reliable, scalable, and maintainable systems /$cMartin Kleppmann.
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260 $aBoston :$bO'Reilly Media,$c2017.
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 futur
520 $aData is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and mainteinability. In addition, we have an overwhelming variet of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? Ho
650 0$aWeb site development.
650 0$aApplication software$xDevelopment.
650 0$aDatabase management.

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