A Metadata Oriented Architecture for Building Datawarehouse

Heeseok Lee; Taehun Kim; Jongho Kim

doi:10.4018/jdm.2001100102

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A Metadata Oriented Architecture for Building Datawarehouse

Heeseok Lee, Taehun Kim, Jongho Kim

Source Title: Journal of Database Management (JDM) 12(4)

DOI: 10.4018/jdm.2001100102

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Abstract

Data warehouse is an intelligent store of data that can aggregate vast amounts of information. A metadata is critical for implementing data warehouse. Therefore, integrating data warehouse with its metadata offers a new opportunity to create a more adaptive information system. This paper proposes a metadata-oriented data warehouse architecture that consists of seven components: legacy system, extracting software, operational data store, data warehouse, data mart, application, and metadata. A taxonomy for dataflow and metaflow is proposed for better understanding of the architecture. In addition, a metadata schema is built within the framework of the seven components. The architecture with its metadata component is applied to a real-life data warehouse for a large medical center in order to illustrate its practical usefulness.

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A Metadata Oriented Architecture for Building Datawarehouse

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