Paper , Order, or Assignment Requirements
- 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.