A foundation for capturing and querying complex multidimensional data
Information Systems - Data warehousing
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Multidimensional normal forms for data warehouse design
Information Systems
Building the Data Warehouse
Capturing summarizability with integrity constraints in OLAP
ACM Transactions on Database Systems (TODS)
YAM2: a multidimensional conceptual model extending UML
Information Systems
Two approaches to the integration of heterogeneous data warehouses
Distributed and Parallel Databases
A survey on summarizability issues in multidimensional modeling
Data & Knowledge Engineering
Hetero-homogeneous hierarchies in data warehouses
APCCM '10 Proceedings of the Seventh Asia-Pacific Conference on Conceptual Modelling - Volume 110
Schema design alternatives for multi-granular data warehousing
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
DOLAP 2011: overview of the 14th international workshop on data warehousing and olap
Proceedings of the 20th ACM international conference on Information and knowledge management
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As organizations grow, decision support systems face a surging demand for information; information that must be integrated into the corporate data warehouse. Incremental integration allows for a gradual evolution of data warehouse schemas. Heterogeneous schemas complicate the integration task. Traditional modeling approaches require heterogeneities in the data warehouse schema to be eliminated, or they lack expressiveness when capturing heterogeneous information. When dwelling on homogeneous schemas, however, valuable information is lost. In contrast, the hetero-homogeneous modeling approach preserves the clarity of homogeneous schemas while offering the flexibility that is needed to model large companies with diverse sub-entities. In this paper, we demonstrate the application of well-accepted object-oriented design principles to data warehousing. We examine the incremental integration of data warehouses, and we sketch the fundamentals of our prototype implementation. Following the hetero-homogeneous approach, we preserve schema heterogeneities as much as possible while avoiding common pitfalls of heterogeneous data warehouse modeling.