Big data is moving from its early stage as an exciting and important concept, to a more mature stage of implementation. Engineers, managers and architects around the world like yourself are digging into the fundamental questions about what projects to implement, and how.
One of the most important areas being impacted by the big data revolution is the data warehouse. Enterprises are finding that the traditional ways of capturing, storing and analyzing data are not working given the new data types, volumes, demands for faster turnarounds, and the increase in LOB driven projects.
In this important webcast, Gartner VP and distinguished analyst Mark Beyer and IBM Fellow, VP and CTO of Information Management Tim Vincent, present the context for reimagining the data warehouse, and key concepts in how to think about implementation.