Q. What is the key distinction between data storage in operational systems and the data warehouse?

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Q. What does the data in a data warehouse cut across?

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

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Q. In a data warehouse, where does the data come from?

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Q. What challenge arises when integrating data from different operational systems?

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Q. What role do external data sources play in data warehousing?

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Q. What needs to be done with the source data before it can be stored in a data warehouse?

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Q. What is the purpose of standardizing data elements in data integration?

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Q. How does the nature of data in an operational system differ from data in a data warehouse?

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Q. Why is historical data important in a data warehouse?

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Q. How does the time-variant nature of data in a data warehouse contribute to its functionality?

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

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Q. In a data warehouse, when are data updates commonly performed?

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Q. How does the data update process differ between operational databases and data warehouses?

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Q. In an operational system, where is data usually kept in terms of detail?

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Q. Why do users in a data warehouse often start with summary data when querying for analysis?

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Q. What does data granularity in a data warehouse refer to?

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Q. What is the finer data granularity in a data warehouse?

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Q. What is the single most important issue facing IT managers when considering data warehousing, according to Bill Inmon?

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Q. Which approach focuses on individual departmental requirements and building departmental data marts?

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