Merging Multidimensional Data Models: A Practical Approach for Schema and Data Instances

Provided by: IARIA
Topic: Data Management
Format: PDF
Meta-model merging is the process of incorporating data models into an integrated, consistent model against which accurate queries may be processed. Within the data warehousing domain, the integration of data marts is often time-consuming. In this paper, the authors introduce an approach for the integration of relational star schemas, which are instances of multidimensional data models. These instance schemas represented as data marts are integrated into a single consolidated data warehouse. Their methodology which is based on model management operations focuses on a formulated merge algorithm and adopts first-order Global-and-Local-As-View (GLAV) mapping models, to deliver a polynomial time, near-optimal solution of a single integrated data warehouse.

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