Q. What are scorecards typically used for in data warehousing?

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Q. What are the typical components for which data storage specifications are needed in a data warehouse?

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Q. What is the usual structure of the overall corporate data warehouse and data marts?

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Q. What is one important criterion for selecting a database management system (DBMS) in the context of data warehousing?

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Q. What is the role of back-end tools in the data warehousing context?

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Q. In the requirements definition phase, what specific aspect of the DBMS is not discussed during interviews and formal meetings with users?

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Q. What may condition the choice of a DBMS in the context of business requirements?

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Q. Which factor influences the degree of openness required in the selected DBMS?

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Q. What determines the strengths in the areas of data loading, recovery, and restart in a DBMS?

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Q. What factor will have a direct relation to how the selected DBMS supports scalability?

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Q. What is the primary factor that impacts the type and size of the storage medium for a data warehouse?

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Q. What should be estimated in the requirements definition phase to determine storage sizes for the data staging area?

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Q. How should you estimate storage size for the overall corporate data warehouse?

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Q. What should you use to estimate the storage size for multidimensional databases that support OLAP?

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Q. In the requirements definition phase, what is the primary source of information for estimating storage sizes in a data warehouse?

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Q. What do you need to calculate storage estimates for the data staging area of the corporate data warehouse?

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Q. What is the primary reason for the existence of a data warehouse?

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Q. How does the composition of the user community impact the information delivery strategy of a data warehouse?

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Q. Which component of a data warehouse is most visible and experienced by users?

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Q. What are the broad areas of the information delivery component directly impacted by business requirements?

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