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Criteo company description updated.

  
   * ''[[http://criteo.com|Criteo]] - Criteo is a global leader in online 
performance advertising ''
    * ''[[http://labs.criteo.com/blog|Criteo R&D]] uses Hadoop as a 
consolidated platform for storage, analytics and back-end processing, including 
Machine Learning algorithms ''
-   * ''We currently have a dedicated cluster of 1117 nodes, 39PB storage, 75TB 
RAM, 22000 cores running full steam 24/7, and growing by the day ''
-   * ''Each node has 24 HT cores, 96GB RAM, 42TB HDD ''
-   * ''Hardware and platform management is done through 
[[http://www.getchef.com/|Chef]], we run YARN ''
-   * ''We run a mix of ad-hoc Hive queries for BI, 
[[http://www.cascading.org/|Cascading]] jobs, raw mapreduce jobs, and streaming 
[[http://www.mono-project.com/|Mono]] jobs, as well as some Pig ''
-   * ''To be delivered in Q2 2015 a second cluster of 600 nodes, each 48HT 
cores, 256GB RAM, 96TB HDD ''
+   * ''We have 5 clusters in total, 2 of which are production, each with a 
corresponding pre-production and an experimental one ''
+   * ''More than 47,896 cores in ~2,560 machines running Hadoop (> 4,300 
machines by the end of 2017) ''
+   * ''Our main cluster: 1,353 machines (24 cores w 15*6TB disk & 256GB RAM) ''
+    * ''Growth to ~3,000 machines by the end of 2017 ''
+   * ''We run a mix of ''
+    * ''Ad-hoc Hive queries for BI ''
+    * ''Cascading/Scalding jobs ''
+    * ''Mapreduce jobs ''
+    * ''Spark jobs ''
+    * ''Streaming Mono jobs ''
  
   * ''[[http://www.crs4.it|CRS4]] ''
    * ''Hadoop deployed dynamically on subsets of a 400-node cluster ''

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