Title :
Extendible arrays for statistical databases and OLAP applications
Author :
Rotem, Doron ; Zhao, J. Leon
Author_Institution :
Database Manage. Group, Lawrence Berkeley Lab., CA, USA
Abstract :
Online analytical processing (OLAP) is becoming increasingly important as today´s organizations frequently make business decisions based on statistical analysis of their enterprise data. This data is multidimensional and is derived from transactional data using various levels of aggregation. As the business model changes frequently, the multidimensional arrays must be extended in terms of the value ranges of each dimension and even new dimensions. We propose new methods to deal with disk resident extendible arrays. A new index data structure for keeping track of the extensions is introduced, and a performance analysis is conducted for array extension and retrievals
Keywords :
business data processing; data structures; online operation; query processing; software performance evaluation; statistical databases; OLAP applications; business decisions; disk resident extendible arrays; enterprise data; extendible arrays; index data structure; multidimensional data; online analytical processing; organizations; performance analysis; statistical analysis; statistical databases; transactional data; Cities and towns; Data structures; Databases; Educational institutions; Geography; Laboratories; Multidimensional systems; Performance analysis; Statistical analysis; Technology management;
Conference_Titel :
Scientific and Statistical Database Systems, 1996. Proceedings., Eighth International Conference on
Conference_Location :
Stockholm
Print_ISBN :
0-8186-7264-1
DOI :
10.1109/SSDM.1996.506053