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A Practical Approach to Hadoop

Data Processing for Analytics

Wednesday, August 3, 2016 | 8 am PT/16:00 BST

Want to learn how to approach your Hadoop data processing and analytics projects without sacrificing governance and control?

In a big data world, business users need on-demand access to governed data sets on highly diverse sources, regardless of scale.  By focusing on the right principles from both existing data warehousing approaches and emerging data lake use patterns, it is possible to drive automatic processing, refinement, and publishing of Hadoop data sets for immediate interactive analysis 

Join this webinar to learn how to:

  • Drive automatic processing, refinement, and publishing of Hadoop data sets for immediate interactive analysis 
  • Strike a balance between enterprise data warehouse and Hadoop data lake enterprise architectures 
  • Facilitate an intuitive on-demand approach to big data analytics without sacrificing governance 

Speaker: Ben Hopkins, Sr. Product Marketing Manager - Big Data, Pentaho

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About Pentaho

Pentaho, a Hitachi Group company, is a leading data integration and business analytics company with an enterprise-class, open source-based platform for diverse big data deployments.
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