Case Study

Looker for Hardoop

Looker for Hardoop

Pages 7 Pages

Interactive Analytics, Visualizations and Data Modeling on large Hadoop Data Sets 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. 2 Looker for Hadoop The Hadoop platform has achieved unprecedented growth in deployments across both enterprise and cloud service providers because it succeeds in easily and cheaply capturing huge amounts of unstructured data. As a data store, the Hadoop F

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