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Hadoop and Spark – Perfect Together

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Unlocking a fully integrated Spark experience within your enterprise Hadoop environment that is manageable, secure and deployable anywhere.

Photo of Arun C Murthy

About Arun

Arun is a full time contributor to the Apache Hadoop project since it’s inception in 2006. Initially, he led the MapReduce project ​​and then started Hadoop YARN resource & workload management platform to re-invent Hadoop as a Data Centre Operating System​. Arun played a key role in efforts to cement Apache Hive as the de-facto standard for SQL in the Hadoop ecosystem, including ​​efforts on Apache Tez. Prior to co-founding Hortonworks, Arun was responsible for all Hadoop MapReduce ​​platform deployed across the 42,000+ servers at Yahoo!. In essence, he was responsible for running Apache Hadoop as a service for Yahoo!. Also, he jointly held the current world sorting record using Apache Hadoop at one point. Follow Arun on Twitter: @acmurthy