Guide to Big Data Applications (eBook)

Dr. S. Srinivasan is the Associate Dean for Academic Affairs and Research as well as the Distinguished Professor of Information Systems at the Jesse H. Jones (JHJ) School of Business at Texas Southern University (TSU) in Houston, Texas, USA. He is the Director of Graduate Programs at the JHJ School of Business. Prior to coming to TSU, he was Chairman of the Division of International Business and Technology Studies at Texas A & M International University in Laredo. He spent 23 years at the University of Louisville (UofL) in Kentucky where he started the Information Security Program as a collaborative effort of multiple colleges. He was Director of the InfoSec program until 2010 when he left for Texas. The program was designated a National Center of Academic Excellence in Information Assurance Education by the US National Security Agency and the Department of Homeland Security. He successfully wrote several grant proposals in support of the InfoSec Program. His two books on Cloud Computing are “Security, Trust, and Regulatory Aspects of Cloud Computing in Business Environments” and “Cloud Computing Basics”. His area of research is Information Security. He is the Editor-in-Chief for the Southwestern Business Administration Journal. He has taught Management of Information Systems and Computer Science courses. He spent his sabbatical leaves from UofL at Siemens in their R & D facility in Munich, Germany; UPS Air Group in Louisville, KY; and GE Appliance Park in Louisville, KY. Besides these industry experiences, he has done consulting work for US Army, IBM and a major hospital company in Louisville, KY. He is currently a Cybersecurity Task Force member of the Greater Houston Partnership.

Introduction.- Big Data Analytics.- Big Data and Social Media.- Use of Cloud Computing for Big Data in Business.- Economic Data Analysis Related to Developing Countries.- High Performance Computing and Big Data.- Big Data Applications in Physics.- Big Data Applications in Chemistry.- Big Data Applications in Mathematics.- Big Data Applications in Biology.- Big Data Applications in Engineering.- Big Data Applications in Meteorology.- Big Data Applications in Environmental Science.- Big Data Applications in Energy.- Security Applications for Big Data.- Big Data Applications in Network Traffic Analysis.- Big Data Applications in Supply Chain Logistics.- Big Data Applications in Healthcare.- Big Data Applications in Cancer Research.- Impact of Big Data in Marketing.- Use of Big Data in Banking.- Using Big Data for Fraud Detection in Accounting.- Using Big Data for Supply Chain Management.- Privacy Implications of Big Data.- Legal Perspectives of Big Data.- Ethical Handling of Big Data in Practical Uses.- Conclusion.