ORE: An Iterative Approach to the Design and Evolution of Multi-Dimensional Schemas

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Provided by: Association for Computing Machinery
Topic: Big Data
Format: PDF
Designing a Data Warehouse (DW) highly depends on the information requirements of its business users. However, tailoring a DW design that satisfies all business requirements is not an easy task. In addition, complex and evolving business environments result in a continuous emergence of new or changed business needs. Furthermore, for building a correct Multi-Dimensional (MD) schema for a DW, the designer should deal with the semantics and heterogeneity of the underlying data sources. To cope with such an inevitable complexity, both at the beginning of the design process and when a potential evolution event occurs, in this paper, the authors present a semi-automatic method, named ORE, for constructing the MD schema in an iterative fashion based on the information requirements.
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