(This article was originally published at blog.RDataMining.com, and syndicated at StatsBlogs.)
by Yanchang Zhao, RDataMining.com
After reading documents and tutorials on MapReduce and Hadoop and playing with RHadoop for about 2 weeks, finally I have built my first R Hadoop system and successfully run some R examples on it. My experience and steps to achieve that are presented at http://www.rdatamining.com/tutorials/rhadoop. Hopefully it will make it easier to try RHadoop for R users who are new to Hadoop. Note that I tried this on Mac only and some steps might be different for Windows.
Before going through the complex steps, you may want to have a look what you can get with R and Hadoop. There is a video showing Wordcount MapReduce in R at http://www.youtube.com/watch?v=hSrW0Iwghtw.
If you are interested enough to try R on Handoop, please follow the steps below, whose details are available at http://www.rdatamining.com/tutorials/rhadoop.
1. Install Hadoop
2. Run Hadoop
3. Install R
4. Install RHadoop
5. Run R jobs on Hadoop
6. What’s Next
Enjoy MapReducing with R!
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