Todd Lipcon investigates the trade-offs between real-time transactional access and fast analytic performance. He also describes Kudu, the new addition to the open source Hadoop ecosystem that fills the storage gap.
Todd holds a Sc.B in Computer Science from Brown University, where he completed an honors thesis developing a new collaborative filtering algorithm for the Netflix Prize Competition. Todd interned at Google developing machine learning methods to detect credit card fraud on AdWords and Google Checkout. Currently Todd works at Cloudera, Inc on bringing Map/Reduce technology to entreprises.