- From the event page -<p>Tech Talk: Eric Tschetter on Druid - Distributed Exploration of High Dimensional Data<p>Druid is a distributed system in use at Metamarkets (<a href="http://www.metamarkets.com" rel="nofollow">http://www.metamarkets.com</a>) to facilitate rapid exploration of high dimensional data. They use Druid to expose impression monetization data to internet publishers along any arbitrary combination of demographic, content and sales-based dimensions. One Druid cluster currently exposes a data set of >15 billion rows of data representing >500 billion impressions in hypercubes of varying dimensionality (largest is 28 dimensions) while allowing for exploration using top lists and timeseries in sub-second latencies. The tech talk will be a discussion of the design considerations and architecture of the system.<p><a href="http://metamarkets.com/2011/druid-part-i-real-time-analytics-at-a-billion-rows-per-second/" rel="nofollow">http://metamarkets.com/2011/druid-part-i-real-time-analytics...</a><p>About Eric Tschetter<p>Eric Tschetter is the lead architect of Druid, Metamarkets' distributed, in-memory database. He held senior engineering positions at Ning and LinkedIn before joining Metamarkets. At LinkedIn, Eric productized LinkedIn's PYMK with Hadoop. He holds bachelors degrees in Computer Science and Japanese from the University of Texas at Austin, and a M.S. from the University of Tokyo in Computer Science.