Copacetic

Ace King, check it out!

Amazon Web Services adds Map Reduce

leave a comment »

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

Written by Joe

April 2, 2009 at 9:42 am

Posted in Uncategorized

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: