Q. In a data warehouse, what is the role of architecture?

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Q. What are the four broad categories of source data for a data warehouse?

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Q. What is the primary challenge when dealing with production data in a data warehouse?

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Q. What is the nature of information queries in operational systems?

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

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Q. What role does internal data play in a data warehouse?

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Q. How often is data typically archived from operational systems, and for how long can it be retained?

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

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

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Q. How does external data typically differ from internal data in terms of format?

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Q. How do organizations need to manage data transmissions from external sources?

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Q. After data is extracted from various operational systems and external sources, what major functions need to be performed to prepare the data for storing in the data warehouse?

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Q. Where do the major functions of data extraction, transformation, and loading take place?

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Q. Why is a separate staging area necessary for preparing data for a data warehouse?

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Q. In some cases, particularly with old legacy systems, what type of staging area might be required?

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Q. What is the purpose of data extraction in the staging area?

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Q. Why might a data warehouse implementation team choose to use in-house programs for data extraction instead of outside tools?

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Q. Where is the source data extracted into after the extraction function in the staging area?

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

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Q. Why is data transformation for a data warehouse more challenging than for an operational system?

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