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Revolution Analytics

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Revolution Analytics

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About the Presentation

Hadoop users face a complex set of choices when considering predictive analytics solutions. There are good reasons for this. Analytics is not “one thing”, and needs vary broadly. As a result, selecting architectures and aligning them with evolving Hadoop distributions and your users’ changing needs is no simple operation.

At this meet-up, Bill Jacobs, Field CTO from Revolution Analytics will begin by comparing some of the analytics on Hadoop options that include legacy analytics products, open source R, rHadoop, Revolution R Enterprise and a class of emerging alternatives.

We’ll then present approaches to some of the new challenges users face including coming Hadoop enhancements including memory-based execution, analytics in large shared clusters, real-time analytics, production deployment, model management lifecycles and sensor based apps such as vehicle telematics, manufacturing quality, etc.

Finally, we’ll update the group on new products from Revolution, including a new freely downloadable version of R, new support and training solutions and a preview of some new capabilities we’re for Hadoop users.

About the Speaker

Bill Jacobs is Revolution Analytics’ VP of Product Marketing and Field CTO. Bill manages Revolution’s R-based analytics for Hadoop and large EDWs. Most recently, Bill helped launch several revisions of Revolution R Enterprise for Cloudera, Hortonworks and MapR distributions of Hadoop plus Windows, Linux and Teradata versions. RRE on Hadoop provides predictive analytics at data scales heretofore unattainable.

Bill brings a rich perspective on big data analytics developed over the past ten years with Revolution, IBM/Netezza, Greenplum/Pivotal and Sybase. His roles there have focused on helping users choose predictive analytics solutions for telecom, financial services, health and life sciences, retail, manufacturing and insurance applications.

Bill is a native of Columbia, Missouri, graduated from MU, and comes to St. Louis from his home in Denver, Colorado. Bill can be found on Twitter at @bill_jacobs (https://twitter.com/bill_jacobs).

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Food and drinks for this meeting are sponsored by Revolution Analytics (http://www.revolutionanalytics.com/).

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STL Big Data - Innovation, Data Engineering, Analytics Group
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1100 Corporate Square Drive Creve Coeur, MO, 63132 · Saint Louis, MO