Impala: A Modern, Open-Source SQL Engine for Hadoop

Topic

The Cloudera Impala project is pioneering the next generation of Hadoop capabilities: the convergence of fast SQL queries with the capacity, scalability, and flexibility of a Hadoop cluster. With Impala, the Hadoop community now has an open-sourced codebase that helps users query data stored in HDFS and Apache HBase in real time, using familiar SQL syntax. In contrast with other SQL-on-Hadoop initiatives, Impala's operations are fast enough to do interactively on native Hadoop data rather than in long-running batch jobs. Now you have the freedom to discover relationships and explore what-if scenarios on Big Data datasets. By taking advantage of Hadoop's infrastructure, Impala lets you avoid traditional data warehouse obstacles like rigid schema design and the cost of expensive ETL jobs.

This talk starts out with an overview of Impala from the user's perspective, followed by a presentation of Impala's architecture and implementation. It concludes with a summary of Impala's benefits when compared with Apache Hive, commercial MapReduce alternatives, and traditional data warehouse infrastructure.

Our Speaker

John Ringhofer, SE, Cloudera

6:30pm food + social -- 7:00pm meetup starts

**Food and seating are first come, first serve.

About the Location

Both the entrance and parking is available in the parking garage below the building. Enter the tenant (not visitor)parking garage from the west side of the building, off of Howell St. (Street View: http://goo.gl/maps/9Cgz ). Use the east elevators up to the 2nd floor, Suite 220 (just follow the posted signs). It's directly above Christie's. Follow the signs. NOTE: you can enter the building from the atrium door or the parking garage (not McKinney Ave). Make sure to use the EAST elevator shaft, or you won't find us.

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