An OLAP Client for Hetero-Homogeneous Data Warehouses

Description

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

Period	22 Sept 2015
Event title	19th IEEE Conference on Enterprise Computing Conference (EDOC 2015), 22.-25. September 2015, Adelaide, Australia
Event type	Conference
Location	AustraliaShow on map