WEBINAR: A Pragmatic Approach to Processing and Refining Big Data - 3 August 2016

A Pragmatic Approach to

Processing and Refining Big Data Wednesday, August 3, 2016 | 8 am PT/16:00 BST

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8:00 am PT/16 BSTOn-demand

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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:

• Enterprise data warehouse and data lake design patterns fit today's analytic landscape
• Organizations can approach Hadoop data processing and analytics without sacrificing governance and control 
• Pentaho provides an approach to delivering refined on-demand data marts to end users in a big data environment
• Pentaho customer FINRA was able to leverage Pentaho's big data capabilities to rapidly accelerate fraud detection 

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

Register here