Organizations rarely rely on individual data scientists to gain value from data — in practice, solving data challenges involves teams of engineers, statisticians, policy makers, and IT staff. In addition, these teams must use a variety of specialized tools and practices. We’ll take a look at the current state of data science by exploring examples of how diverse teams have effectively solved data challenges.
State of Data 2014: Data Science Teams in the Wild
Michael Manoochehri is the author of Data Just Right: Introduction to Large-Scale Data & Analytics. With many years of experience working with enterprise, research, and non-profit organizations, his goal is to help make scalable data analytics more affordable and accessible. Manoochehri has been a member of Google’s Cloud Platform developer relations team, focusing on cloud computing and data developer products such as Google BigQuery. In addition, Manoochehri has written for the tech blog ProgrammableWeb.com, has spent time in rural Uganda researching mobile phone use, and holds a master’s degree in information management and systems from UC Berkeley’s School of Information.