Is parallel database technology critical to the future success of data-driven DSS?
YES. According to Todd Walter of NCR Teradata, three issues are driving the increasing use of parallel processing in database environments: the need for increased speed or performance for large databases, the need for scalability and the need for high availability. Finally, Mahapatra and Mishra (2000) conclude “Intra-query parallelism is very beneficial in decision support system (DSS) applications, which often have complex, long-running queries. As DSS have become more widely used, database vendors have been increasing their support for intra-query parallelism.” In general, parallel processing is necessary to provide timely results from complex, decision support database queries needed by managers in data intensive organizations. References Abdelguerfi, M. and K. Wong, Parallel Database Techniques, Wiley-IEEE Computer Society Press, July 1998. Barney, B., “Introduction to Parallel Computing,” Livermore Computing, URL http://www.llnl.gov/computing/tutorials/parallel_comp/ DeWitt, D. J.
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