Apache Hive is the de-facto standard for SQL-in-Hadoop today, with more enterprises relying on this open source project than on any alternative. Enterprises have asked for Hive to become more real-time and interactive‚ 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, how much Hive has grown in the last 12 months, and how much further it will soon go.
Alan, Arun & Owen will cover how Hive:
This session is sponsored by Hortonworks
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.
Alan is a co-founder at Hortonworks and an original member of the engineering team that took Pig from a Yahoo! Labs research project to a successful Apache open source project. Alan also designed HCatalog and guided its adoption as an Apache Incubator project. Alan has a BS in Mathematics from Oregon State University and a MA in Theology from Fuller Theological Seminary. He is also the author of Programming Pig, a book from O’Reilly Press.
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