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Cloud-Friendly Hadoop and Hive - StampedeCon 2013

by on Aug 16, 2013

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`At the StampedeCon 2013 Big Data conference in St. Louis, Shrikanth Shankar, Head of Engineering at Qubole, presented Cloud-Friendly Hadoop and Hive. The cloud reduces the barrier to entry for many ...

`At the StampedeCon 2013 Big Data conference in St. Louis, Shrikanth Shankar, Head of Engineering at Qubole, presented Cloud-Friendly Hadoop and Hive. The cloud reduces the barrier to entry for many small and medium size enterprises into analytics. Hadoop and related frameworks like Hive, Oozie, Sqoop are becoming tools of choice for deriving insights from data. However, these frameworks were designed for in-house datacenters, which have different tradeoffs from a cloud environment, and making them run well in the cloud presents some challenges. In this talk, Shrikanth Shankar, Head of Engineering at Qubole, describes how these experiences taught us to extend Hadoop and Hive to exploit these new tradeoffs. Use cases will be presented that show how the challenges at large scale at Facebook are now making it extremely easy for a significantly smaller end user to leverage these technologies in the cloud.

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Cloud-Friendly Hadoop and Hive - StampedeCon 2013 Cloud-Friendly Hadoop and Hive - StampedeCon 2013 Presentation Transcript