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:
Increases performance and scale by simplifying tasks using Apache Tez (Arun)
Decreases file size and effectiveness with the ORC file (Owen)
Expanding OLAP functionality, data type conformance, and adding ACID compliant updates (Alan)
This session is sponsored by Hortonworks
Owen has been contributing to Apache Hadoop since before it was first called Hadoop. He was the first committer added to the project and has provided technical leadership on MapReduce, and security. Using Hadoop in 2008 he set the world record for sorting a terabyte of data in 3.5 minutes and in 2009 he sorted a petabyte in 16.25 hours. In 2011, Own co-founded Hortonworks, which commercially supports and trains users of the Hadoop ecosystem. Prior to Hortonworks, Owen worked on Yahoo! Search’s WebMap project, which built the know web. Once ported to Apache Hadoop, it became the single largest low Hadoop application.
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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