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Arun Murthy
Founder, Hortonworks

Website | @acmurthy

Arun is the lead of the MapReduce project in Apache Hadoop where he has been a full-time contributor to Apache Hadoop since its inception in 2006. He is a long-time committer and member of the Apache Hadoop PMC and jointly holds the current world sorting record using Apache Hadoop. Prior to co-founding Hortonworks, Arun was responsible for all MapReduce code and configuration deployed across the 42,000+ servers at Yahoo!. In essence, he was responsible for running Apache Hadoop?s MapReduce as a service for Yahoo!. Twitter: @acmurthy. He is directly responsible for every bit of code and configuration of Map-Reduce deployed at over 40,000 machines running Apache Hadoop.

Sessions

Office Hour Table D
Alan Gates (Hortonworks), Owen O'Malley (Hortonworks), Arun Murthy (Hortonworks)
* Making Hive perform interactive queries: Tez, vectorization, and optimizer improvements * How ORC enables higher performance and more efficient storage * Growing Hive's SQL to be standard compliant: adding subquery, datatypes, updates, deletes, and ACID. Read more.
Sponsored Gramercy Suite B
Arun Murthy (Hortonworks), Alan Gates (Hortonworks), Owen O'Malley (Hortonworks)
Average rating: ****.
(4.75, 4 ratings)
Apache Hive is the de facto standard for SQL-in-Hadoop today with more enterprises relying on this open source project than any alternative. New enterprise requirements for Hive to become more real time or interactive have evolved… and the Hive community has responded. Please join Arun Murthy, Owen O'Malley and Alan Gates to learn more about Stinger and improvements to Apache Hive. Read more.

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