Data approach: Exploits the planned and strategic nature

Data Warehouse design process Top-down, bottom-up or combined approach is used ? Top-down: Starts with overall design and planning. Useful where technology is mature and well known.

? Bottom-up: Starts with experiments and prototypes. Useful in the early stage of business modeling and technology development. ? Combined approach: Exploits the planned and strategic nature of top-down while retaining the rapid implementation of the bottom-up approach. From software engineering point of view ? Waterfall method: structured and systematic analysis at each step before proceeding to the next ? Spiral method: rapid generation of increasingly functional systems, with short turnaround time. Typical data warehouse design process ? Choose a business process to model, e.g.

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, orders, sales, etc. ? Choose the grain (atomic level of data) of the business process ? Choose the dimensions that will apply to each fact table record ? Choose the measure that will populate each fact table reco


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