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    . We currently run one medium-sized Hadoop cluster (1.6PB) to store and 
serve up physics data for the computing portion of the Compact Muon Solenoid 
(CMS) experiment. This requires a filesystem which can download data at 
multiple Gbps and process data at an even higher rate locally. Additionally, 
several of our students are involved in research projects on Hadoop.
  
   * 
[[http://dbis.informatik.uni-freiburg.de/index.php?project=DiPoS|University of 
Freiburg - Databases and Information Systems]]
-   * 10 nodes cluster (Dell PowerEdge R200 with Xeon Dual Core 3.16GHz, 4GB 
RAM, 3TB/node storage).
+   . 10 nodes cluster (Dell PowerEdge R200 with Xeon Dual Core 3.16GHz, 4GB 
RAM, 3TB/node storage).
    . Our goal is to develop techniques for the Semantic Web that take 
advantage of MapReduce (Hadoop) and its scaling-behavior to keep up with the 
growing proliferation of semantic data.
    * 
[[http://dbis.informatik.uni-freiburg.de/?project=DiPoS/RDFPath.html|RDFPath]] 
is an expressive RDF path language for querying large RDF graphs with MapReduce.
    * 
[[http://dbis.informatik.uni-freiburg.de/?project=DiPoS/PigSPARQL.html|PigSPARQL]]
 is a translation from SPARQL to Pig Latin allowing to execute SPARQL queries 
on large RDF graphs with MapReduce.

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