Provided By Peter Skomoroch, President at Data Wrangling LLC
Data Wrangling blogger and AWS developer Peter Skomoroch gives us an introduction to Amazon Elastic MapReduce. In this sample application, we use the Amazon Elastic MapReduce Ruby client to run a multiple step Python streaming job that identifies similar artists based on Last.fm Audioscrobbler playlists. We also run the Amazon Elastic MapReduce job on Netflix Prize data to identify similar movies based on user ratings and take the AWS Management Console for a test drive.
|Source Location on Amazon S3:||http://elasticmapreduce.s3.amazonaws.com/samples/similarity/similarity.zip|
|Source License:||Apache License, Version 2.0|
|How to Run this Application:|
|Terms and Conditions for Associated Sample Data:||Music Listening Dataset originally provided by Audioscrobbler.com. May 6, 2005 version of the data released under the Creative Commons Attribution-Noncommercial-Share Alike (CC-BY-NC-SA) license, Version 1.0.|