Data-intensive computing has been receiving much attention as a collective solution to address the data deluge that has been brought about by tremendous advances in distributed systems and Internet-based computing. An innovative programming models such as MapReduce and a peta-scale distributed file system to support it have revolutionized and fundamentally changed approaches to large scale data storage and processing.  These data-intensive computing approaches are expected to have profound impact on any application domain that deals with large scale data, from healthcare delivery to military intelligence. Given the omnipresent nature of large scale data and the tremendous impact they have on a wide variety of application domains, it is imperative to ready our workforce to face the challenges in this area. This project aims to improve the big-data preparedness of diverse STEM audience by defining a comprehensive framework for education and research in data-intensive computing.
Dr. Bina Ramamurthy is the director and principal investigator of this project.

CSE487/587 Data-Intensive Computing is a new course that has been designed to address big-data preparedness of our workforce.


CSE487/587 Course Description