Impala: A Modern SQL Engine for Hadoop

Beyond Hadoop Great America Ballroom J
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The Cloudera Impala project is for the first time making scalable parallel database technology, which is the underpinning of Google’s Dremel as well as that of commercial analytic DBMSs, available to the Hadoop community. With Impala, the Hadoop community now has an open-sourced codebase that allows users to issue low-latency queries to data stored in HDFS and Apache HBase using familiar SQL operators.

This talk will start out with an overview of Impala from the user’s perspective, followed by a presentation of Impala’s architecture and implementation, and will conclude with a comparison of Impala with Apache Hive, commercial MapReduce alternatives, and traditional data warehouse infrastructure.

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Justin Erickson


Justin Erickson is a senior director of product management leading Cloudera’s platform team, which is responsible for the components in Cloudera Distribution, including Hadoop (CDH) above storage. Previously, he led the high-availability and disaster-recovery areas of Microsoft SQL Server.

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Justin Erickson
03/09/2013 4:49am PST

Great to hear the continued excitement around the Impala project. I just posted the slides.

Minakshi Mukherjee
03/03/2013 4:45pm PST

Hi Justin, The session was very informative. Is it possible to post the slides? Thanks Mina

Sri Papani
03/01/2013 5:49am PST

Turn the negatives into positives… Cloudera’s Impala is the way to go!! Strata’s Impala talk is the viral hit and Justin rocks… -Sri


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