« Choropleth Challenge Results | Main | Northern California heads-up »

November 16, 2009

Comments

Feed You can follow this conversation by subscribing to the comment feed for this post.

Also look at the HadoopStreaming package: http://cran.r-project.org/web/packages/HadoopStreaming/

To me the mapreduce part of hadoop is the trivial part. It's the job and task trackers of Hadoop that make me want the whole thing integrated with R and not just this "port".

Indeed -- the "and it's trivial" headline was decidedly tongue-in-cheek. If you're interested in using R as the reduce operator in Hadoop, check out the Rhipe project.

Take a look at this: in Ruby you can implement all of Unix in just 14 lines (and it's trivial).

http://pwpwp.blogspot.com/2009/11/unix-in-14-lines-of-ruby-its-trivial.html

The comments to this entry are closed.

Search Revolutions Blog




Got comments or suggestions for the blog editor?
Email David Smith.
Follow revodavid on Twitter Follow David on Twitter: @revodavid
Get this blog via email with Blogtrottr