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Explain multidimensional analysis

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Reference no: EM13334378

1. Give at least three reasons why ETL functions are most challenging in a data warehouse environment.
2. Identify at least five major types of the major transformation tasks and give an example of each.
3. Describe the entity identification problem in data integration and consolidation & suggest a resolution to this problem.
4. Explain the need for key restructuring.
5. Explain the sparse nature of the data in the fact table.
6. Differentiate between fully additive and semiadditive measures.
7. Explain multidimensional analysis.
8. Discuss at least two reasons why feeding data into the OLAP system directly from the source operational system is not recommended.
9. What are the types of statistics collected for monitoring the functioning of the data warehouse?
10. Describe at least six different types of action for growth planning prompted by the statistics collected.

Reference no: EM13334378

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