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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Q. What is the primary objective of cleaning data during the data transformation process?

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Q. What is semantic standardization in the context of data transformation?

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Q. Which of the following is NOT a part of data transformation?

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Q. Why are primary keys in a data warehouse different from those in operational systems?

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Q. What does the data transformation function include when data needs to be summarized in the data warehouse?

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Q. What is the outcome of the data transformation function in the data staging area?

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Q. What is the primary distinction between the initial data loading and ongoing data loading into a data warehouse?

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Q. Why is the data storage for a data warehouse kept separate from the data storage for operational systems?

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Q. What distinguishes data storage for operational systems from data storage for a data warehouse?

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Q. Why is it important for data in a data warehouse to be stable and represent snapshots at specified periods?

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Q. What is the primary purpose of multidimensional database management systems (MDDBs) in data warehouses?

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