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Comment:
Updated Spotify's numbers and info

    * ''We  contribute to Hadoop and related projects where possible, see 
http://code.google.com/p/bigstreams/ and 
http://code.google.com/p/hadoop-gpl-packing/ ''
  
   * ''[[http://www.spotify.com|Spotify]] ''
-   * ''We use Apache Hadoop for content generation, data aggregation, 
reporting and analysis (see more: 
[[http://files.meetup.com/5139282/SHUG%201%20-%20Hadoop%20at%20Spotify.pdf|Hadoop
 at Spotify]]) ''
+   * ''We use Apache Hadoop for content generation, data aggregation, 
reporting, analysis (see more: 
[[http://www.slideshare.net/RafaWojdya/the-evolution-of-hadoop-at-spotify-through-failures-and-pain|The
 Evolution of Hadoop at Spotify - Through Failures and Pain]]) and even for 
generating music recommendations 
([[http://www.slideshare.net/JoshBaer/how-apache-drives-music-recommendations-at-spotify|How
 Apache Drives Music Recommendations At Spotify]]''
-   * ''1300 node cluster : 15,600 physical cores, ~70TB RAM, ~60 PB storage 
(read more about our Hadoop issues while growing fast: 
[[http://www.slideshare.net/AdamKawa/hadoop-adventures-at-spotify-strata-conference-hadoop-world-2013|Hadoop
 Adventures At Spotify]])''
+   * ''1650 node cluster : 43,000 virtualized cores, ~70TB RAM, ~65 PB storage 
(read more about our Hadoop issues while growing fast: 
[[http://www.slideshare.net/AdamKawa/hadoop-adventures-at-spotify-strata-conference-hadoop-world-2013|Hadoop
 Adventures At Spotify]])''
-   * ''+8,000 daily Hadoop jobs (scheduled by Luigi, our open-sourced job 
orchestrator - [[https://github.com/spotify/luigi|code]] and 
[[https://vimeo.com/63435580|video]])''
+   * ''+20,000 daily Hadoop jobs (scheduled by Luigi, our open-sourced job 
orchestrator - [[https://github.com/spotify/luigi|code]] and 
[[https://vimeo.com/63435580|video]])''
  
   * ''[[http://stampedehost.com/|Stampede Data Solutions (Stampedehost.com)]] 
''
    * ''Hosted Apache Hadoop data warehouse solution provider ''

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