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Breakthroughs in modern data research tend to come from companies like Google, Facebook, and Amazon, with projects like MapReduce, Cassandra, and Dynamo.
Twenty years ago, this types of breakthroughs would be happening in academia, which causes today’s guest Peter Bailis to ask: is the academic data community having an identity crisis?
Peter is an assistant professor at Stanford University, where he works on an analytic monitoring system called MacroBase. Our conversation also explores the intrigue and the challenges of analyzing and storing IoT data.