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copied!<p>It's easy to get started.</p> <p>Here's a FAQ: <a href="http://aws.amazon.com/elasticmapreduce/faqs/" rel="noreferrer">http://aws.amazon.com/elasticmapreduce/faqs/</a></p> <p>And here's the Getting Started Guide: <a href="http://docs.amazonwebservices.com/ElasticMapReduce/latest/GettingStartedGuide/" rel="noreferrer">http://docs.amazonwebservices.com/ElasticMapReduce/latest/GettingStartedGuide/</a></p> <p>If you have an EC2 account already, you can enable MapReduce and have a sample application up and running in less than 10 minutes using the AWS Management Console.</p> <p>I did the pre-packaged Word Count sample application, which returns a count of each word contained in about 20 MB of text. You can provision up to 20 instances to run concurrently, though I just used 2 instances and the job completed in about 3 minutes.</p> <p>The job returns a 300 KB alphabetized list of words and how often each word appears in the sample corpus.</p> <p>I really like that MapReduce jobs can be written in my choice of Perl, Python, Ruby, PHP, C++, R, or Java. The process was painless and straightforward, and the interface gives good feedback on the status of your instances and the job flow.</p> <p>Be aware that, since AWS charges for a full hour when an instance is created, and since the MapReduce instances are automatically terminated at the end of the job flow, the cost of multiple fast-running job flows can add up quickly.</p> <p>For example, if I create a job flow that uses 20 instances and returns results in 15 minutes, and then re-run the job flow 3 more times, I'll be charged for 80 hours of machine time even though I only had 20 instances running for 1 hour.</p>

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