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By Datakey
via analyticbridge.com
Published: Aug 26 2014 / 14:16

R language and Python are often used to group and summarize data from big files, which have smaller computed result and bigger source data. As it is difficult to load all the data wholly to the memory for computing, the only solution is batch importing and computing as well as result merging. Here are examples to illustrate how R language, esProc and Python group and summarize data from big text files, and I’m wondering if you could give some advice on them.
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