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An OLAP Client for Hetero-Homogeneous Data Warehouses

Authors: C. Schütz, J. Roth, B. Neumayr, M. Schrefl
Paper: Schu15b (2015)
Citation: Proceedings Enterprise Distributed Object Computing Workshop (EDOCW) at 19th IEEE Conference on Enterprise Computing Conference (EDOC 2015), 22.-25. September 2015, Adelaide, Australia, Demo paper and poster presentation, pp. 140-143, 2015.
Resources: Copy  (In order to obtain the copy please send an email with subject  Schu15b  to dke.win@jku.at)


Abstract (English):

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