Assignment
Part 1: 200-250 words with references
Provide an example of a data warehouse model defining the grain, dimensions and facts of the data warehouse.
Part 2: 200-250 words with references
Identify the importance of selecting the Grain of a data warehouse in the Kimball Data Warehouse Model. Provide examples of grains within a Data Warehouse.
Part 3: 200-250 words with references (2 paragraphs)
Describe one unique and specific example where you would use classification of type Decision Tree, Bayesian or Rule-Based and explain WHY. Use references and justification to support your point of view.
The response should include a reference list. Double-space, using Times New Roman 12 pnt font, one-inch margins, and APA style of writing and citations.