11.8. REVIEW QUESTIONS

  1. Describe slowly changing dimensions. What are the three types? Explain each type very briefly.

  2. Compare and contrast Type 2 and Type 3 slowly changing dimensions.

  3. Can you treat rapidly changing dimensions in the same way as Type 2 slowly changing dimensions? Discuss.

  4. What are junk dimensions? Are they necessary in a data warehouse?

  5. How does a snowflake schema differ from a STAR schema? Name two advantages and two disadvantages of the snowflake schema.

  6. Differentiate between slowly and rapidly changing dimensions.

  7. What are aggregate fact tables? Why are they needed? Give an example.

  8. Describe with examples snapshot and transaction fact tables. How are they related?

  9. Give an example of a value circle. Explain how a family of STARS can support a value circle.

  10. What is meant by conforming the dimensions? Why is this important in a data warehouse?

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