E-MailAgile Data Warehousing: Incorporating Agile Principles
Traditional data warehouse projects follow a typical waterfall development model in which rigorous efforts are made to collect complete requirements, design comprehensive architectures and data models, develop and populate repositories, and, ultimately, develop the analytical reports and artifacts that users want. These projects are complex affairs, involving various stakeholders. Depending on their magnitude, these projects generally run at least six months and can easily exceed US $1 million.
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