| Bridging the Gap: SQL and MapReduce for Big Analytics | |
| Date/Time: | OnDemand Event |
| Speakers: | Rick F. van der Lans, R20 Steve Wooledge, Teradata Aster |
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Join our webcast series to get expert advice on Big Data Analytics Best Practices – available technologies and when to use which. Also hear real-world use cases, get peer advice on lessons learned, and understand how to develop a big analytics roadmap for your organization. Learn to leverage data discovery tools and transform the way decisions are made and business is conducted to better compete and win in the marketplace.
Who should attend?
Business Interest – Executives, data scientists, business analysts, marketing analysts, statisticians, "quants" and other roles responsible for making data-driven business decisions.
Technical Interest – Enterprise architects, data warehousing, and other business intelligence roles responsible for providing the infrastructure for big data and advanced analytics.
Speakers
| Back to the Future – MapReduce, Hadoop & the Data Scientist | |
| Date/Time: | OnDemand Event |
| Speakers: | Colin White, BI Research Ari Zilka, Hortonworks Tasso Argyros, Teradata Aster |
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| The Big Data Analytics Landscape: Insights into Trends, Innovations and New Business Value | |
| Date/Time: | OnDemand Event |
| Speakers: | Merv Adrian, Gartner Tasso Argyros, Teradata Aster |
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| Creating Competitive Advantage with Big Analytics in Marketing | |
| Date/Time: | OnDemand Event |
| Speakers: | Mohanbir Sawhney, Kellogg School of Management, Northwestern University
James Masuoka, Teradata Aster |
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| The Inside Scoop: Teradata Aster’s Newest Big Analytics Technology | |
| Date/Time: | OnDemand Event |
| Speakers: | Scott Gnau, Teradata Aster Tasso Argyros, Teradata Aster |
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| Do You Really Need a Data Scientist? | |
| Date/Time: | OnDemand Event |
| Speakers: | Mike Gualtieri, Forrester Research Bill Franks, Teradata Bernard Blais, SAS Geoffrey Guerdat, Gilt Groupe Jim Walker, Hortonworks |
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| Marketing Attribution in a Big Analytics World |
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| Date/Time: | OnDemand Event |
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