Nauman Sheikh is a veteran of the data and analytics space. He has successfully transformed from a career data architect in large corporations to a serial entrepreneur in the data science space. He dealt with his first billion-row fact table in 1998 and built his first predictive model using machine learning in 2009. He has worked on three continents and has solved problems in data, analytics, security, and governance with a hands-on approach. He has been solving the challenges of big data at a large corporation the last three years and will share his experience with the TDWI audience in this session.