Q. In the context of data modeling for data warehouses, what is a STAR schema?

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Q. What does forward-engineering in data modeling involve?

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Q. What is the primary purpose of a STAR schema in a data warehouse?

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Q. In a STAR schema, which part of the structure is used to answer specific business questions?

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Q. How are queries formulated in a STAR schema when analyzing data?

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Q. What does a STAR schema provide an intuitive view of?

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Q. How does a STAR schema support drill-down analysis?

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Q. What does the fact table in a STAR schema typically contain?

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Q. In a STAR schema, how do users analyze data?

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Q. Which department would benefit the most from using a STAR schema for data analysis?

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Q. What is the primary function of the primary key in a dimension table?

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Q. Why is a dimension table referred to as "wide"?

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Q. What type of attributes are commonly found in dimension tables?

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Q. Why are dimension tables typically not normalized?

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Q. How do attributes in a dimension table facilitate drilling down and rolling up in data analysis?

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Q. What is the typical relationship between the number of records in a dimension table and the fact table in a data warehouse?

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Q. What is the primary key of a fact table?

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Q. What does the term "data grain" refer to in the context of a fact table?

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Q. What is the characteristic of fully additive measures in a fact table?

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Q. Which attribute in a fact table is an example of a semiadditive measure?

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