Abstract: - Data Warehouses are databases used in Business Intelligence systems as a data source to develop analytical applications. These applications consist of multidimensional analyses of data and allow decisional makers to improve the business processes of the Information System. Since multidimensional analyses require to aggregate data on several attributes, techniques based on approximate query answering have been introduced in order to reduce the response time. These techniques use, as a data source, a synopsis of the data stored in the Data Warehouse. In this paper, a parallel algorithm for the computation of data synopsis is presented.
Parallel Computing for Data Reduction
DI TRIA, FRANCESCO;LEFONS, Ezio;TANGORRA, Filippo
2010-01-01
Abstract
Abstract: - Data Warehouses are databases used in Business Intelligence systems as a data source to develop analytical applications. These applications consist of multidimensional analyses of data and allow decisional makers to improve the business processes of the Information System. Since multidimensional analyses require to aggregate data on several attributes, techniques based on approximate query answering have been introduced in order to reduce the response time. These techniques use, as a data source, a synopsis of the data stored in the Data Warehouse. In this paper, a parallel algorithm for the computation of data synopsis is presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
