This presentation is part of the "Executive Summit":http://strataconf.com/strata2011/public/schedule/detail/17165.
There has been an explosion in database technology designed to handle big data and deep analytics from both established vendors and startups. This session will provide a quick tour of the primary technology innovations and systems powering the analytic database landscape — from data warehousing appliances and columnar databases to massively parallel processing and in-memory technology. The goal is to help you understand the strengths and limitations of these alternatives and how they are evolving so you can select technology that is best suited to your organization and needs.
I design and build analysis and decision support systems, and building data management and access infrastructure. Research focus these days is on analysis techniques, emerging technology and practices in analytics, BI, information management, user experience for data access & delivery applications. I speak at a lot of conferences on anything data, with a bunch of history of science and technology mixed in.
I focus on two types of work: using data to make decisions and manage organizations, and building data technology infrastructure. A big part of making decisions and using data in a corporate setting is ensuring that the right data capture and data delivery infrastructure is in place to manage the business. As a result, I do as much information strategy and IT architecture work as I do performance management and decision support.
My spare-time projects involve research on history of communication technology adoption and fieldwork in ecology, specializing in botany.
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