In a talk that moved up the stack closer to the end user, Pawel Terlecki from Tableau returned to @Scale this year to talk about a different problem in data visualization: Users have to spend an inordinate amount of time preparing data that resides in diverse sources so it can be visualized. Pawel talked about the challenge in enabling analysis of data models defined over disparate data sources.