Metadata Management in the Data Warehouse Process:
a Viewpoint-Based Approach
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For decades, there has been a steady rise in data generated by the rapid development of enterprise information systems, supported by a large storage capacity. This proliferation of large-scale data has created real challenges for the organizations and for the scientific community. Data Warehousing provides an excellent approach to turn data into useful and reliable information to support business decision-making, and also to achieve business intelligence. One of the most important and critical mechanisms in the construction and operation of the data warehouse is the management of metadata that...
For decades, there has been a steady rise in data generated by the rapid development of enterprise information systems, supported by a large storage capacity. This proliferation of large-scale data has created real challenges for the organizations and for the scientific community. Data Warehousing provides an excellent approach to turn data into useful and reliable information to support business decision-making, and also to achieve business intelligence. One of the most important and critical mechanisms in the construction and operation of the data warehouse is the management of metadata that faces several problems such as integration, interoperability, and reusability. In this work, we aim to manage and capitalize knowledge in a multi-expert decisional environment to achieve an efficient decision-making within organization by integrating the users' know-how and preferences in the decisional process via the notion of viewpoint. . The objective is to capitalize the user's viewpoint and to keep the user's trace and annotation in a warehouse process based on CWM.
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