Modeling multidimensional databases, cubes and cube operations

Vassiliadis, Panos

dc.contributor.author	Vassiliadis, Panos	en
dc.date.accessioned	2014-03-01T02:41:33Z
dc.date.available	2014-03-01T02:41:33Z
dc.date.issued	1998	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30525
dc.subject	Aggregation Function	en
dc.subject	Multidimensional Database	en
dc.subject	On Line Analytical Processing	en
dc.subject	Relational Model	en
dc.subject.other	Computational methods	en
dc.subject.other	Computer architecture	en
dc.subject.other	Computer simulation	en
dc.subject.other	Computer systems programming	en
dc.subject.other	Data structures	en
dc.subject.other	Mathematical models	en
dc.subject.other	Online systems	en
dc.subject.other	Multidimensional databases	en
dc.subject.other	Online analytical processing (OLAP)	en
dc.subject.other	Relational engines	en
dc.subject.other	Relational database systems	en
dc.title	Modeling multidimensional databases, cubes and cube operations	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/SSDM.1998.688111	en
heal.identifier.secondary	http://dx.doi.org/10.1109/SSDM.1998.688111	en
heal.publicationDate	1998	en
heal.abstract	On-Line Analytical Processing (OLAP) is a trend in database technology, which was recently introduced and has attracted the interest of a lot of research work. OLAP is based on the multidimensional view of data, supported either by multidimensional databases (MOLAP) or relational engines (ROLAP). In this paper we propose a model for multidimensional databases. Dimensions, dimension hierarchies and cubes are formally, introduced. We also introduce cube operations (changing of levels in the dimension hierarchy, function application, navigation etc.). The approach is based on the notion of the base cube, which is used for the calculation of the results of cube operations. We focus our approach on the support of series of operations on cubes (i.e. the preservation of the results of previous operations and the applicability of aggregate functions in a series of operations). Furthermore, we provide a mapping of the multidimensional model to the relational model and to multidimensional arrays.	en
heal.publisher	IEEE Comp Soc, Los Alamitos, CA, United States	en
heal.journalName	Scientific and Statistical Database Management - Proceedings of the International Working Conference	en
dc.identifier.doi	10.1109/SSDM.1998.688111	en
dc.identifier.spage	53	en
dc.identifier.epage	62	en