Skip to main content

Building a Hadoop Warehouse with Impala

This article was originally published on Technology.Info.
As part of our continuing strategy for growth, ITProPortal has joined forces with Technology.Info to help us bring you the very best coverage we possibly can.

Viewer Takeaways

  • The origins and development of Cloudera Impala
  • The most analytical solution for SQL workloads
  • The future for SQL on Hadoop

Although Apache Hive delivers a functional SQL interface to data stored on Apache Hadoop, it fails to provide anywhere near the performance required for an interactive experience. Cloudera Impala, developed as a purpose built, MPP SQL engine dissolves the latency latent in Hive/MapReduce, providing the first SQL interface suitable for human interaction, be it directly or via a JDBC/ODBC integrated tool. Please join Cloudera to discuss the origins and development of Impala and the bright future Cloduera sees for SQL on Hadoop moving forward.

Download PDF