Scalable Data Science with R
Date: This event took place live on August 16 2016
Duration: Approximately 60 minutes.
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R is the fastest growing advanced analytics language with a vibrant community of data scientists, analysts, and researchers numbering in the millions who contribute thousands of packages to open source. But the data and processing limitations associated with R are real challenges. As real-world data grows exponentially, analysts find themselves wrestling with billions of records to analyze complex relationships to tackle new business problems.
Join Teradata Roger Fried, Senior Data Scientist and Brian Kreeger, Senior Data Scientist and local R User Group organizer, with over 30 collective years of experience designing and implementing big data analytic solutions in healthcare, finance and retail.
This webcast discussion will cover the following topics:
About Brian Kreeger, Senior Data Scientist – Teradata
Brian Kreeger is a Data Scientist with the Advanced Analytics Strategy and Adoption team, helping Teradata Aster's customers drive their Analytical Mission by providing guidance and education. Brian is a 20-year veteran of developing and implementing solutions to complex business problems, with experience in healthcare, finance and retail. He has a MA in Mathematics from Eastern New Mexico University.
About Roger Fried, Senior Data Scientist – Teradata
Roger is a Senior Data Scientist within Teradata Aster's Advanced Analytics Strategy & Adoption Team. He has an MBA in Finance from the University of Texas at Austin and is completing his Masters in Predictive Analytics from DePaul University. His primary role is to drive big data analytics adoption within some of Aster's customers.