[AWS:ElasticMapReduce] Google-sized Parallel Computing on a You-sized Budget

By M. David Peterson
April 2, 2009

@ http://aws.amazon.com/elasticmapreduce/ you'll find an interesting new entry into Amazon's utility-based web service offerings: Elastic MapReduce.

Amazon Elastic MapReduce is a web service that enables businesses, researchers, data analysts, and developers to easily and cost-effectively process vast amounts of data. It utilizes a hosted Hadoop framework running on the web-scale infrastructure of Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3).

Using Amazon Elastic MapReduce, you can instantly provision as much or as little capacity as you like to perform data-intensive tasks for applications such as web indexing, data mining, log file analysis, machine learning, financial analysis, scientific simulation, and bioinformatics research. Amazon Elastic MapReduce lets you focus on crunching or analyzing your data without having to worry about time-consuming set-up, management or tuning of Hadoop clusters or the compute capacity upon which they sit.

I have to admit that my feelings regarding Elastic MapReduce are not quite formed yet, so plan to reserve my comments for now. I'm interested to hear your take, however.

Thoughts from the community?

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