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    * We also use Hadoop for executing long-running offline 
[[http://en.wikipedia.org/wiki/SPARQL|SPARQL]] queries for clients.
    * We use Amazon S3 and Cassandra to store input RDF datasets and output 
files.
    * We've developed [[http://rdfgrid.rubyforge.org/|RDFgrid]], a Ruby 
framework for map/reduce-based processing of RDF data.
-   * We primarily use Ruby, [[http://rdf.rubyforge.org/|RDF.rb]] and RDFgrid 
to process RDF data with Hadoop Streaming.
+   * We primarily use Ruby,  and RDFgrid to process RDF data with Hadoop 
Streaming.
-   * We primarily run Hadoop jobs on Amazon Elastic MapReduce, with cluster 
sizes of 1 to 20 nodes depending on the size of the dataset (hundreds of 
millions to billions of RDF statements).
+   * We primarily run Hadoop jobs on Amazon Elastic MapReduce, with cluster 
sizes of 1 to 20 nodes depending on the size of the dataset (hundreds of 
millions to billions of RDF statements). 
  
   * [[http://www.deepdyve.com|Deepdyve]]
    * Elastic cluster with 5-80 nodes

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