A comprehensive introductory textbook for use in undergraduate and graduate information systems or computer science database courses, as well as for independent readers.
Nenad Jukić is a professor of information systems and the director of the graduate certificate program in Business Data Analytics at the Quinlan School of Business at Loyola University Chicago. Dr. Jukić has been teaching undergraduate, graduate, and executive education classes in the Information Systems and Operations Management Department at the Quinlan School of Business since 1999. Between 2005 and 2007, Dr. Jukić was also a visiting professor of information systems in the Beijing International MBA Program at the China Center for Economic Research at Peking University, Beijing, China. Between 1997 and 1999, he taught at the School of Computing and Information Systems at Grand Valley State University in Allendale, Michigan. Dr. Jukić received his undergraduate degree in computer science and electrical engineering from the School of Computing and Electrical Engineering at the University of Zagreb in Croatia. He received his M.S. and Ph.D. in computer science from the University of Alabama in Tuscaloosa, Alabama. Dr. Jukić conducts active research in various information technology–related areas, including database modeling and management, data warehousing, business intelligence, data mining, ebusiness, and IT strategy. His work has been published in numerous management information systems and computer science academic journals, conference publications, and books. In addition to his academic work, his engagements include providing expertise to database, data warehousing, and business intelligence projects for corporations and organizations that vary from startups to Fortune 500 companies to U.S. government and military agencies.
Susan V. Vrbsky is an associate professor and graduate program director of computer science at the University of Alabama in Tuscaloosa, Alabama. Dr. Vrbsky has been teaching undergraduate and graduate courses in the Department of Computer Science at the University of Alabama since 1992. She is the director of the Cloud and Cluster Computing Laboratory at the University of Alabama. She also taught in the Computer Science Department at Southern Illinois University from 1983 to 1986. Dr. Vrbsky received her B.A. from Northwestern University in Evanston, IL, and her M.S. in computer science from Southern Illinois University in Carbondale, IL. She received her Ph.D. in computer science from the University of Illinois, Urbana-Champaign. Dr. Vrbsky’s research is in the area of databases and cloud computing, including data intensive computing, real-time databases, database security, mobile databases, and green computing. She has co-authored over 100 peer-review publications in computer science academic journals, conference publications, and books. She has received funding from such sources as the National Science Foundation.
Svetlozar Evtimov Nestorov is an assistant professor of information systems at the Quinlan School of Business at Loyola University Chicago. Previously, he was a senior research associate at the Computation Institute at the University of Chicago, and he was an assistant professor in computer science at the University of Chicago, where he taught databases and computer systems to undergraduate and graduate students. While on leave, he co-founded Mobissimo, a venture- backed travel search engine that was chosen as one of the 50 coolest Web sites by Time magazine in 2004. Dr. Nestorov received his undergraduate degrees in computer science and mathematics from Stanford University and his M.S. in computer science from Stanford University. He received his Ph.D. in computer science from Stanford University with a dissertation titled “Data Mining Techniques for Structured and Semistructured Data.” His advisor was Professor Jeffrey Ullman. Svetlozar led the design and development of the data warehouse project at the Nielsen Data Center at the Kilts Center for Marketing, which is part of the Chicago Booth School of Business. His research interests also include data mining, high-performance computing, and Web technologies.