Data Analytics on Cloudera

Create a flexible data exploration environment on top of Hadoop. 

Looker for Cloudera leverages the Impala engine to bring the analytics app to the data, enabling sophisticated near-real time analysis within a CDH environment — without the complexity and delays associated with moving data or having to transform it ahead of time. Looker becomes the front end to the enterprise data hub, providing true push-down analytics and unlocking the value of data.

This paper describes what you can do when you use Looker on your data in Impala.

  • Simplify or eliminate ETL / intermediate storage
  • Define schemas on the fly
  • Operate fully in-database for interactive analytics
  • Combine transaction, event, and machine data into one single source of truth
Teradata + Looker Data Analytics Overview
Teradata + Looker Data Analytics Overview

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