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Register a new userAn Automatic Schema-Instance Approach for Merging Multidimensional Data Warehouses
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Added by
Jerome Darmont
Publication date
2021
fields
Informatics Engineering
and research's language is
English
Authors
Yuzhao Yang
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Using data warehouses to analyse multidimensional data is a significant task in company decision-making.The data warehouse merging process is composed of two steps: matching multidimensional components and then merging them. Current approaches do not take all the particularities of multidimensional data warehouses into account, e.g., only merging schemata, but not instances; or not exploiting hierarchies nor fact tables. Thus, in this paper, we propose an automatic merging approach for star schema-modeled data warehouses that works at both the schema and instance levels. We also provide algorithms for merging hierarchies, dimensions and facts. Eventually, we implement our merging algorithms and validate them with the use of both synthetic and benchmark datasets.
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