The two core components are the Hadoop Distributed File System for storing data and Hadoop MapReduce for writing parallel-processing jobs.

其中两个核心组件是用于存储数据的Hadoop Distributed File System (Hadoop分布式文件系统)和用于写入并行处理任务的Hadoop MapReduce。

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In this article, I introduce Apache's open source MapReduce implementation, Hadoop, which some have called the killer app of cloud computing.

在本文中，我将介绍Apache的开源MapReduce实现，Hadoop，也有人将其称之为云计算的杀手应用程序。

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Check out this list of Mapreduce and Hadoop algorithms in academic papers.

检查学术文章中的Mapreduce和Hadoop算法的列表。

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Capabilities like Splunk and Hadoop and other MapReduce implementations will be employed to distill and summarize machine data.

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This relieves data scientists from having to be Hadoop managers and MapReduce coders, and it also lets business analysts field new questions across large data sets with relative ease.

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One of the largest challenges in putting Hadoop to work is writing the MapReduce programs to transform and analyze the data.

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