Q. Which of the following queries would likely run the fastest in a data warehouse without using aggregate fact tables?

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Q. When might aggregate fact tables be most helpful in improving query performance in a data warehouse?

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Q. In a typical data warehouse, what is the main reason for needing detailed data at the lowest level of granularity in the base fact tables?

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Q. In a grocery chain data warehouse with 300 stores, 40,000 products, and daily sales data, what is the maximum number of base fact table records at the lowest level of granularity?

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Q. When running queries in a data warehouse environment, which type of result sets do users typically need?

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Q. What is the primary advantage of using aggregate fact tables in data warehousing?

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Q. What is the primary purpose of aggregate fact tables in a data warehouse?

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Q. In the context of aggregate fact tables, what are "one-way aggregates"?

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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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