MapReduce

所属分类:大数据
开发工具:GO
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上传日期:2023-11-10 21:27:50
上 传 者sh-1993
说明:  MapReduce是一种编程模型,用于在分布式计算机集群中处理大型数据集
(MapReduce is a programming model for processing large datasets across a distributed cluster of computers)

文件列表:
CVPR_2019_paper.txt (4759, 2023-11-10)
Map_Reduce.txt (846, 2023-11-10)
Steps.txt (831, 2023-11-10)
master.go (8536, 2023-11-10)
page2.html (1827, 2023-11-10)
slave.go (8409, 2023-11-10)

# MapReduce MapReduce is a programming model for processing large datasets across a distributed cluster of computers. It involves two main steps: Map, where data is divided into chunks and processed independently by "mappers," and Reduce, where results are aggregated by "reducers." A master node coordinates the overall execution, while distributed devices serve as both mappers and reducers, working in parallel to process the data efficiently.

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