Looker for Hadoop

Big Data presents big challenges. 
 
The vision of Hadoop as more than a data store is finally a reality. Thanks to advances from SQL query engines like Spark SQL, Impala, Presto and Hive on Tez, big data technologies are now accessible for business analytics. With Looker, analysts can build a data model across all their data in Hadoop - easily transforming raw data into meaningful metrics and finally allowing business teams to access and explore years of stored data in Hadoop. 
 
Overcome analytic challenges on Hadoop data:
  • Get more from your Hadoop cluster by analyzing the data where it sits
  • No need to move or transform the data prior to performing analysis
  • Interact with your data through a familiar language - SQL on Hadoop
  • Create a single source of truth for your enterprise that’s governed by a data model
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Looker for Cloudera
Looker for Cloudera

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Look & Tell SF: Hadoop for Advanced Analytics: Pipedream or Reality?
Look & Tell SF: Hadoop for Advanced Analytics: Pipedream or Reality?

Amazon Web Services, Craftsy, and Looker discuss the technical and business challenges of analytics on Hado...