Abstract
Data warehouses combine data from various, often heterogeneous sources. The hetero-homogeneous approach to data warehouse modeling allows for the representation of heterogeneities while preserving the advantages of homogeneous models. A hetero-homogeneous model allows for the stepwise, controlled introduction of additional levels and measures for different sub-hierarchies and sub-cubes of an otherwise homogeneous model. We demonstrate with a proof-of-concept implementation that existing OLAP technology may be adapted for the use with hetero-homogeneous data warehouses.
Keywords: Business Intelligence, Relational Online Analytical Processing, Heterogeneous Databases
| Original language | English |
|---|---|
| Title of host publication | 19th IEEE Conference on Enterprise Computing Conference (EDOC 2015), Adelaide, AU |
| Publisher | IEEE Computer Society |
| Pages | 140-143 |
| Number of pages | 4 |
| Publication status | Published - Sept 2015 |
Fields of science
- 102 Computer Sciences
- 102010 Database systems
- 102015 Information systems
- 102016 IT security
- 102025 Distributed systems
- 102027 Web engineering
- 102028 Knowledge engineering
- 102030 Semantic technologies
- 502050 Business informatics
- 503008 E-learning
JKU Focus areas
- Computation in Informatics and Mathematics
- Management and Innovation