Yeah, saw this today, too. Very cool. One of these days, I'll have
time to use the credits Amazon has donated to Apache and try this out
more. I think this furthers the need to make it easy to install
Mahout on top of Hadoop in this environment. Scripts for this would
be a great donation.
On Apr 2, 2009, at 4:28 AM, [email protected] wrote:
FYI.
---------- Forwarded message ----------
From: Amazon Web Services <[email protected]>
Date: Apr 2, 2009 3:23pm
Subject: Announcing Amazon Elastic MapReduce
To: "[email protected]" <[email protected]>
Dear AWS Customer,
We are excited today to introduce the public beta of Amazon Elastic
MapReduce, 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.
Working with the service is easy: Develop your processing
application using our samples or by building your own, upload your
data to Amazon S3, use the AWS Management Console or APIs to
specify the number and type of instances you want, and click
"Create Job Flow." We do the rest, running Hadoop over the number
of specified instances, providing progress monitoring, and
delivering the output to Amazon S3.
We hope this new service will prove a powerful tool for your data
processing needs. You can sign up and start using the service today
at aws.amazon.com/elasticmapreduce.
Sincerely,
The Amazon Web Services Team
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--------------------------
Grant Ingersoll
http://www.lucidimagination.com/
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