Hetero-homogeneous hierarchies in data warehouses
APCCM '10 Proceedings of the Seventh Asia-Pacific Conference on Conceptual Modelling - Volume 110
Reference model and perspective schemata inference for enterprise data integration
INAP'09 Proceedings of the 18th international conference on Applications of declarative programming and knowledge management
A framework for building logical schema and query decomposition in data warehouse federations
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
FedDW global schema architect: UML-based design tool for the integration of data mart schemas
Proceedings of the fifteenth international workshop on Data warehousing and OLAP
Partial multi-dimensional schema merging in heterogeneous data warehouses
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
A formal framework for query decomposition and knowledge integration in data warehouse federations
Expert Systems with Applications: An International Journal
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Although Data Warehousing is regarded as a mature technology now, the definition of a federated architecture for Data Warehouse (DW) integration remains an open re- search question. This paper identifies requirements on a Federated DW System and proposes an architecture sup- porting the tightly coupled integration of heterogeneous data marts into a global, logical schema. In order to en- able the processing of queries in the federation, our ap- proach provides a Dimension Algebra (DA) and Fact Al- gebra (FA) to define the mappings between the global and local schemas. Moreover, we demonstrate how to apply DA and FA expressions for dimension and fact integration and explain the benefits of such an approach.