CAGDI: A New Conceptual Model of Early and Late Requirement Engineering for Non Fading Dataware House

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Provided by: Research In Motion
Topic: Big Data
Format: PDF
Building a data warehouse is a very challenging task. Most of the data ware house project fails to meet the business requirements and business goals because of the improper requirement engineering phase. The chaos all through the development of requirements evolves due to disparity between users and developers resulting in project devastations and terminations. Data warehouse quality depends on the quality of its requirement engineering models. Agent orientation is emerging as a unique paradigm for constructing data ware house and maintaining the non fading data ware house property.
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