Scalable, Data Driven Analysis Session 1 of 3 (March 12, 2015)


Date: March 12, 2015

Description: March 12, 2015: Session 1 will begin with exploration of the historical evolution, key concepts, and definitions pertaining to big data. This introduction will build the foundation for the three pillars of big data that we will focus on throughout the course: infrastructure, algorithms and implications. The second portion of Session 1 will dive into the infrastructure that enables use of big data. This discussion will cover the physical resources, management issues, and models of computing that are involved when provisioning resources for big data computing.

Presenters: John Davis and Zev Winkelman (RAND)

John Davis is an Information Scientist at the RAND Corporation where his research focuses on the impact of technology on society and includes cybersecurity, Big Data and digital privacy. Dr. Davis serves as co-director of RAND's Scalable Analytics Methods Center where he helps shape the incorporation of Big Data techniques and practices into RAND's data science activities. Dr. Davis holds four patents and has published extensively in peer-reviewed ACM/IEEE workshops and conferences. He has extensive software development and leadership experience in both industrial research and startup environments.

Zev Winkelman is a core faculty member at the Pardee RAND Graduate School and an associate information scientist at RAND specializing in big data analytics, social media, and cyber security. He has more than 15 years of experience in computer engineering and software development including a master's degree in forensic computing and counter terrorism. Zev has designed and implemented many systems that allow analysts to fuse, analyze and visualize diverse datasets across several domains including: financial data, social media and social networks, unstructured text, and geo-tagged data.