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  We use Hadoop to store copies of internal log and dimension data sources and 
use it as a source for reporting/analytics and machine learning.
  Currently have a 640 machine cluster with ~5000 cores and 2PB raw storage. 
Each (commodity) node has 8 cores and 4 TB of storage.
  
+ *  [[http://www.grooveshark.com|Grooveshark]]
+ We use Hive for user analytics, dataset cleaning, and machine learning R&D.
+ 
  *  [[http://www.hi5.com|hi5]]
  We use Hive for analytics, machine learning and social graph analysis.
  
@@ -30, +33 @@

  *  [[http://www.trendingtopics.org|Trending Topics]]
  Hot Wikipedia Topics, Served Fresh Daily.  Powered by Cloudera Hadoop 
Distribution & Hive on EC2.  We use Hive for log data normalization and 
building sample datasets for trend detection R&D.
  
- *  [[http://www.grooveshark.com|Grooveshark]]
- We use Hive for user analytics, dataset cleaning, and machine learning R&D.
- 

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