Your browser is out of date

Update your browser to view this website correctly. Update my browser now

×

Impala raises the bar for SQL query performance on Apache Hadoop. With Impala, you can query Hadoop data – including SELECT, JOIN, and aggregate functions – in real time to do BI-style analysis. As a result, Impala makes a Hadoop-based enterprise data hub function like an enterprise data warehouse for native Big Data. In this webinar featuring Impala architect Marcel Kornacker, you will explore: How Impala's architecture supports query speed over Hadoop data that not only convincingly exceeds that of Hive, but also that of a proprietary analytic DBMS over its own native columnar format. The current state of, and roadmap for, Impala's analytic SQL functionality. An example configuration and benchmark suite that demonstrate how Impala offers a high level of performance, functionality, and ability to handle a multi-user workload, while retaining Hadoop’s traditional strengths of flexibility and ease of scaling. You will also learn how enterprise conformed dimensions can be used as the basis for integrating Hadoop and conventional data warehouses.

Complete the form to view this resource. We believe strongly in user privacy.

Yes, I would like to be contacted by Cloudera for newsletters, promotions, events and marketing activities. Please read our privacy and data policy.
Yes, I consent to my information being shared with Cloudera's solution partners to offer related products and services. Please read our privacy and data policy.
I agree to Cloudera's terms and conditions.

Your form submission has failed.

This may have been caused by one of the following:

  • Your request timed out
  • A plugin/browser extension blocked the submission. If you have an ad blocking plugin please disable it and close this message to reload the page.