Big Data at Foursquare: Infrastructure, Analytics, Prediction, and Beyond

This month we're bringing it back to some practical application with a presentation from engineers at Foursquare. Right on the heels of what will certainly be a very successful showing at SXSW, Justin Moore and crew will present on how they're dealing with big data at Foursquare. Here's the description Justin sent over:

Foursquare has recently taken a deep dive into the big data realm and we want to share our experiences with a larger audience. We will start with our decision process of what technologies to use, our trials and tribulations with Hadoop and Hive, and on further to custom infrastructure we have built to support analyzing and processing our data set. We will then give an overview of how we are building business analytics and internal monitoring tools using the technologies that we have built. Finally, I'd like to dig into some specific examples of how this is used in some of our products, for example, how we use Mahout to do similarity scoring and how it integrates into real-time prediction in our core application.