What is the reality of data warehousing in the public cloud?
That’s the question that our panelists answered in SmartData Collective’s latest webinar, recorded live earlier today. We moved beyond the hype and explored the realities of this potentially very powerful tool, including both upsides and downsides. We examined data in the cloud from multiple angles, discussing costs, the state of the data market, what works in data warehousing, and what doesn’t work.
Listen to “The Risks and Rewards of Big Data in the Cloud”
Featuring:
| Michael Fauscette is IDC Group Vice President, Software Business Solutions, overseeing IDC’s research and consulting in ERP, SCM, CRM, and PLM Applications, small and medium business applications, partner and alliance ecosystems, open source, software vendor business models (SaaS) and software pricing and licensing. Mr. Fauscette brings a unique perspective by relating research data and trends to the overall strategic focus and go to market strategy of application software companies. | |
 | Mike Culver, a member of the Strategic Alliances Team at Amazon Web Services, is responsible for managing global relationships with key partners. Based in Seattle, Mike presents at conferences and other forums to help decision-makers understand Cloud Computing, and why the new business model is so disruptive. Mike has spent more than 15 years in technology, having previously worked with Microsoft, an ecommerce startup that he founded, and an IT organization in the Wholesale Distribution industry |
| Dr. Todd Papaioannou is VP for Architecture and Emerging Technologies at Teradata. He focuses on product and architectural strategy across the entire Teradata product portfolio, and has recently been focused on driving Teradata’s initiatives in Cloud Computing and Virtualization. Todd has previously served as CTO of Teradata’s Client Software group and Chief Architect for the Teradata Viewpoint program. Prior to joining Teradata, he was Chief Architect at Greenplum/Metapa. Todd holds a PhD in Artificial Intelligence and Distributed Systems. |
