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Updating OLAP Dimensions (0)
| Content Provider | CiteSeerX |
|---|---|
| Author | Hurtado, Carlos A. Mendelzon, Alberto O. Vaisman, Alejandro A. |
| Description | OLAP systems support data analysis through a multidimensional data model, according to which data facts are viewed as points in a space of application-related "dimensions ", organized into levels which conform a hierarchy. Although the usual assumption is that these points reflect the dynamic aspect of the data warehouse while dimensions are relatively static, in practice it turns out that dimension updates are often necessary to adapt the multidimensional database to changing requirements. These updates can take place either at the structural level (e.g. addition of categories or modification of the hierarchical structure) or at the instance level (elements can be inserted, deleted, merged, etc.). They are poorly supported (or not supported at all) in current commercial systems and have not been addressed in the literature. In a previous paper we introduced a formal model supporting dimension updates. Here, we extend the model, adding a set of semantically meaningful operators which e... In Proc. 2nd IEEE-DOLAP Workshop |
| File Format | |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Instance Level Olap Dimension Dynamic Aspect Structural Level Usual Assumption Data Warehouse Hierarchical Structure Multidimensional Database Olap System Support Data Analysis Current Commercial System Dimension Update Formal Model Application-related Dimension Meaningful Operator Multidimensional Data Model Previous Paper Data Fact |
| Content Type | Text |
| Resource Type | Article |
