Building a Streamlined Data Refinery with Pentaho and Hadoop by Will Gorman

As the volume and variety of data has exploded in recent years, extracting valuable information from public and private sources (both on premises and cloud) has been a complex undertaking. Moreover, extracting value from Big Data has been a substantial challenge in and of itself, but it has been compounded by new preferences for data consumption. Basic batch reporting doesn’t cut it anymore – information consumers want analytics to access more and more data that they can explore in their favorite format on-demand, often in the context of the other software applications they use every day. In light of these circumstances, many organizations can benefit from a Streamlined Data Refinery architecture, which represents a flexible, economical way to process and automate delivery of information to large numbers of users for a variety of analytic purposes. In this presentation I will walk folks through an example streamlined data refinery and how to build it.

Meet the speaker:

Will Gorman, Chief Architect at Pentaho

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Will has worked on the Pentaho BI Suite since 2007, and is the author of Packt Publishing'sPentaho Reporting 3.5 for Java Developers. Prior to joining Pentaho Will worked at GE Research, on projects ranging from aircraft engine expert systems to medical informatics focused on predicting Alzheimer's progression.

Agenda:

6:00 - 6:45pm: Registration, Networking
6:45 - 7:00pm: Introductions
7:00 - 7:45pm: Presentation
7:45 - 8:00pm: Q&A session
8:00 - 8:30pm: Networking