Building a Hadoop Warehouse with Impala

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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.

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