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Advanced Analytics in Hadoop

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6 years ago

On June  11 Thomas Dinsmore gave a nice outline on tools and technologies that are out there handling analytics in Hadoop. It is a must watch for anyone looking for what advance analytics Hadoop could deliver.

Please find video and slides below.

Synopsis

What is the state of play for advanced analytics in Hadoop? A year ago, options included “roll your own” and little else; today there are a number of serious open source and commercial options available, with new capabilities announced daily.

In this presentation, we begin with a brief overview of use cases for advanced analytics and a discussion of what types of analytics must run in Hadoop. We continue with an overview of available architectures. The presentation concludes with a hype-free survey of available open source and commercial software for advanced analytics in Hadoop.

Bio

Thomas W. Dinsmore is Director of Product Management for Revolution Analytics, a company that provides commercial support and services for open source R. In this role, Mr. Dinsmore closely tracks the market for commercial and open source software on all platforms, including Hadoop. Prior to joining Revolution Analytics, Mr. Dinsmore served as an Analytics Solution Architect for IBM Big Data, and as a Principal Consultant for Razorfish and SAS.

Mr. Dinsmore has hands-on experience with leading commercial and open source tools for advanced analytics, including SAS, SPSS, R, Oracle Data Mining across a range of platforms, including Hadoop, Netezza, Teradata and Oracle. He is certified in SAS 9.

In his career, Mr. Dinsmore has worked with more than 500 enterprises in the United States, Canada, Mexico, Venezuela, Chile, Brazil, the United Kingdom, Belgium, Italy, Turkey, Israel, Malaysia and Singapore.

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