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A Study on Metadata-Driven Data Integration  

Kang, Yang-Suk (동아대학교 경영정보과학부)
Hong, Soon-Goo (동아대학교 경영정보과학부)
Lee, Young-Sang (이노베이티브데이터솔루션즈(주))
Heo, Jin-Suk (이노베이티브데이터솔루션즈(주))
Publication Information
Journal of Information Technology Services / v.8, no.1, 2009 , pp. 1-9 More about this Journal
Abstract
It is essential for companies to manage massive data for dealing with large volume of transactions and customers' needs. To this end, the companies have operated data warehouse with many complex tools for data gathering and reporting to the end-users. However, the data from the heterogeneous tools at the various sources cannot be exchanged because of the different interfaces. Therefore, the data cannot be controlled with integrated manner, and furthermore the companies do not focus the quality of data resulting in the data quality problem. Thus, this study suggests how to manage massive data with a metadata. In particular, we investigate current status of metadata management, its appliance, and perspectives. The contribution of this research is to apply the metadata management system to the real world and to suggest its management procedure.
Keywords
Metadata; Data Quality; Data Warehouse; Interoperability;
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