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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.

Management Information System, Management Studies

  • Category:- Management Information System
  • Reference No.:- M93118235
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