情感 发表于 2025-3-23 13:09:09

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CULP 发表于 2025-3-23 15:04:12

NGC (New General Catalogue) Objects,mapper, the reducer, and optionally, the combiner and the partitioner. All other aspects of execution are handled transparently by the execution framework—on clusters ranging from a single node to a few thousand nodes, over datasets ranging from gigabytes to petabytes. However, this also means that

织布机 发表于 2025-3-23 19:26:17

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狂热语言 发表于 2025-3-23 22:13:29

Special Provisions on Tortfeasorsnown as the web graph), social networks (manifest in the flow of email, phone call patterns, connections on social networking sites, etc.), and transportation networks (roads, bus routes, flights, etc.).Our very own existence is dependent on an intricate metabolic and regulatory network, which can b

Sinus-Rhythm 发表于 2025-3-24 04:37:27

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高射炮 发表于 2025-3-24 08:29:01

https://doi.org/10.1007/978-3-319-07839-7, but there is consensus that great value lies buried in them, waiting to be unlocked by the right computational tools. In the commercial sphere, business intelligence—driven by the ability to gather data from a dizzying array of sources—promises to help organizations better understand their custome

抵消 发表于 2025-3-24 11:19:42

Introduction,rocessing dating back several decades. MapReduce has since enjoyed widespread adoption via an open-source implementation called Hadoop, whose development was led by Yahoo (now an Apache project).Today, a vibrant software ecosystem has sprung up around Hadoop, with significant activity in both industry and academia.

Meager 发表于 2025-3-24 16:18:00

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Costume 发表于 2025-3-24 22:40:40

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Hippocampus 发表于 2025-3-25 01:22:38

https://doi.org/10.1007/978-3-319-07839-7erious problems. They are brittle with respect to the natural variation found in language, and developing systems that can deal with inputs from diverse domains is very labor intensive. Furthermore, when these systems fail, they often do so catastrophically, unable to offer even a “best guess” as to what the desired analysis of the input might be.
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查看完整版本: Titlebook: Data-Intensive Text Processing with MapReduce; Jimmy Lin,Chris Dyer Book 2010 Springer Nature Switzerland AG 2010