At Strata + Hadoop World 2012, Amy O’Connor and her daughter Danielle Dean shared how they learned and built data science skills at Nokia. (At the time, Amy led the Big Data team at Nokia where Danielle was an intern still working on her PhD.) In the past four years, the landscape of data science has changed drastically. In 2012, most data science skills had to be learned organically; today, there have been major advances in tools, education, and the general culture in organizations taking on data science work. This year, Amy and Danielle explore how the landscape in the world of data science has changed and explain how to be successful deriving value from data today. Along the way, they outline the innovative methods they’ve used to find and build a data science skill set within their teams and for those in their customer base.
Danielle Dean is the technical director of machine learning at iRobot. Previously, she was a principal data science lead at Microsoft. She holds a PhD in quantitative psychology from the University of North Carolina at Chapel Hill.
Amy O’Connor is a big data evangelist and telecommunications specialist at Cloudera, the leading big data vendor. She advises customers globally as they introduce big data solutions and adopt enterprise-wide big data delivery capabilities. Amy was recently named one of Information Management’s 10 Big Data Experts to Know. Prior to joining Cloudera, Amy built and ran Nokia’s big data team, developing and managing Nokia’s data assets and leading a team of data scientists to drive insights. Previously, Amy was vice president of services marketing and also led strategy for the software and storage business units of Sun Microsystems.
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