An OLAP Client for Hetero-Homogeneous Data Warehouses (Demo Paper)
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19th IEEE Conference on Enterprise Computing Conference (EDOC 2015), Adelaide, AU
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