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Office Hour with Arun Murthy, Alan Gates, and Owen O'Malley

Alan Gates (Hortonworks), Owen O'Malley (Cloudera), Arun Murthy (Cloudera )
Office Hour Table D
  • 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.
Photo of Alan Gates

Alan Gates

Hortonworks

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.

Photo of Owen O'Malley

Owen O'Malley

Cloudera

Owen O’Malley is a cofounder and technical fellow at Cloudera, formerly Hortonworks. Cloudera’s software includes Hadoop and the large ecosystem of big data tools that enterprises need for their data analytics. Owen has been working on Hadoop since the beginning of 2006 at Yahoo, was the first committer added to the project, and used Hadoop to set the Gray sort benchmark in 2008 and 2009. Previously, he was the architect of MapReduce, Security, and now Hive. He’s driving the development of the ORC file format and adding ACID transactions to Hive.

Photo of Arun Murthy

Arun Murthy

Cloudera

Arun was chief product officer at Hortonworks, prior to its merger with Cloudera, leading engineering and R&D efforts across the company’s entire portfolio. He was one of the founders of Hortonworks and has spent well over a decade in the open source big data industry. He has worked on Apache Hadoop since its inception in 2006 and remains an Apache Hadoop Project Management Committee (PMC) member. Prior to co-founding Hortonworks, Arun was one of the original members of the Hadoop team at Yahoo, where he was responsible for all Hadoop/MapReduce code and configuration deployed across the 42,000+ servers and for running Hadoop as a service for the company.

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