Q. What is the purpose of forming two-way aggregate fact tables in a data warehouse?

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Q. What is the effect of sparsity on the number of rows in aggregate fact tables?

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Q. What is the primary consideration when determining an aggregation strategy for a data warehouse?

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Q. When creating aggregate tables, what can be the effect of the failure of sparsity?

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Q. What is a practical goal for designing aggregation strategies in a data warehouse environment?

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Q. What should you consider when determining the attributes and combinations for aggregation?

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Q. How does the number of values for an attribute affect its suitability for aggregation?

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Q. In a hotel chain schema, if the "city" attribute has 25,000 values and "hotel" has 15,000 values, what is the recommendation regarding aggregation?

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Q. What is the primary goal of aggregation in a data warehouse environment?

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Q. What is a practical approach when designing aggregation strategies in a data warehouse?

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Q. What drives the need for summarization and aggregation in a data warehouse?

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Q. What does a family of STAR schemas consist of?

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Q. What is typically shared among the fact tables in a family of STAR schemas?

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Q. In what kind of business would it make sense to have families of STAR schemas consisting of transaction and snapshot schemas?

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Q. In which type of business does it make sense to have a schema capturing transaction data that supports strategic decision making and revenue analysis?

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Q. What kind of data analysis is primarily supported by a transaction schema?

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Q. What kind of questions are typically addressed by a snapshot schema in a telephone company's data warehouse?

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Q. In a bank's data warehouse, what does the core fact table typically contain?

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Q. In a family of STARS with core and custom tables, what is the purpose of the custom fact tables?

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Q. What is the primary advantage of using core and custom tables in a data warehouse for businesses with diverse products and services?

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