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    * We have a 15-node Hadoop cluster where each machine has 8 cores, 8 GB 
ram, and 3-4 TB of storage.
    * We use Hadoop for all of our analytics, and we use Pig to allow PMs and 
non-engineers the freedom to query the data in an ad-hoc manner.
  
-  * [[http://www.thestocksprofit.com/|The Stocks Profit - Technical Analysis]]
-   * Generating stock analysis on 23 nodes (dual 2.4GHz Xeon Processor, 2 GB 
RAM, 72GB Hard Drive)
- 
   * [[http://www.weblab.infosci.cornell.edu/|Cornell University Web Lab]]
    * Generating web graphs on 100 nodes (dual 2.4GHz Xeon Processor, 2 GB RAM, 
72GB Hard Drive)
  
@@ -128, +125 @@

  
   * [[http://www.google.com|Google]]
    * 
[[http://www.google.com/intl/en/press/pressrel/20071008_ibm_univ.html|University
 Initiative to Address Internet-Scale Computing Challenges]]
+ 
+ 
+  * [[http://www.thestocksprofit.com/|Technical analysis and Stock Research]]
+   * Generating stock analysis on 23 nodes (dual 2.4GHz Xeon, 2 GB RAM, 36GB 
Hard Drive)
+ 
  
   * [[http://www.gruter.com|Gruter. Corp.]]
    * 30 machine cluster  (4 cores, 1TB~2TB/machine storage)

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