Approaches to Big Data

Catalog description

A survey of the field of “Big Data” and its connections to data analysis and visualization, to databases and data warehouses, and to document repositories. Application areas selected from among business, government, science, health, medicine and allied fields, social science, digital humanities, and software engineering, and the characteristic uses and challenges of Big Data in these areas are considered. Techniques including data mining and visualization, programming languages and development processes such as Hadoop, statistical approaches, and implementations such as Telemet. Concerns in development and use, including ethics, security, privacy, and intellectual property, on the one hand, and concurrency and distribution, operating systems, and the cloud, on the other; applications of Big Data in addressing these concerns. Issues in software engineering and collaboration for Big Data applications. Guest lectures and/or on-line presentations by on-campus and off-campus experts in Big Data or application areas.