Map Reduce 工作与竞赛

Map Reduce is a programming model created to process big data sets. It's oftentimes utilized in the act of distributed computing for different devices. Map Reduce jobs involve the splitting of the input data-set into different chunks. These independent sectors are then processed in a parallel manner by map tasks. The framework will then sort the map outputs, and the results will be included in "reduce tasks." Usually, the input and output of Map Reduce Jobs are kept in a file-system. The framework is then left in charge of scheduling, monitoring, and re-executing tasks.

Map Reduce can be used in jobs such as pattern-based searching, web access log stats, document clustering, web link-graph reversal, inverted index construction, term-vector per host, statistical machine translation and machine learning. Text indexing, search, and tokenization can also be accomplished with the Map Reduce program.

Map Reduce can also be used in different environments such as desktop grids, dynamic cloud environments, volunteer computing environments and mobile environments. Those who want to apply for Map Reduce jobs can educate themselves with the many tutorials available in the internet. Focus should be put on studying the input reader, map function, partition function, comparison function, reduce function and output writer components of the program.
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项目/竞赛 描述 竞标数/参赛作品数 技能 已开始 结束 价格(CNY)
Hadoop cluster installation i want a hadoop 4 node cluster 10 Java, Linux, Big Data Sales, Hadoop, Map Reduce Jun 20, 2018 Jun 20, 20185天 15时 ¥165
Hadoop project assistance database system HI I require assistance all information inside attached doc 17 软件构架, 数据库管理, Hadoop, Map Reduce, 数据库编程 Jun 16, 2018 Jun 16, 20181天 13时 ¥889
hadoop H Base systems hello I need your help with Hadoop if you know what it is then please bid here 9 软件构架, Hadoop, Map Reduce, 软件开发, 数据库编程 Jun 16, 2018 Jun 16, 20181天 10时 ¥883
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