An alternative is to use Apache Whirr to quickly set up a Hadoop cluster on AWS and install the Mahout binary distribution on one of the nodes.
Checkout http://whirr.apache.org/ and http://www.searchworkings.org/blog/-/blogs/apache-whirr-includes-mahout-support for the mahout-client role Frank On Tue, Apr 3, 2012 at 11:39 AM, Sean Owen <sro...@gmail.com> wrote: > This is lightly covered in Mahout in Action but yes there is really little > more to know. You upload the job jar and run it like anything else in AWS. > On Apr 3, 2012 10:24 AM, "Sebastian Schelter" <s...@apache.org> wrote: > >> None that I'm aware of. But its supereasy to use Mahout in EMR: You need >> to upload your data and Mahout's job-jar file to Amazon S3. After that >> you can you simply start a Hadoop job in EMR that makes use of Mahout, >> just as you would use it on the command line with 'hadoop jar' >> >> Best, >> Sebastian >> >> On 03.04.2012 11:20, Yuval Feinstein wrote: >> > Hi. >> > I heard about Amazon's Elastic Map Reduce ( >> > http://aws.amazon.com/elasticmapreduce/) >> > which provides pre-configured Hadoop servers over the cloud. >> > Does there exist any service providing Mahout over a similar >> infrastructure? >> > i.e a cloud server providing either a stand-alone or a distributed Mahout >> > service where one can upload data files and run Mahout algorithms? >> > TIA, >> > Yuval >> > >> >>
