Q. What is the consequence of bad data quality in a data warehouse?

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Q. What is the significance of data quality in a data warehouse?

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Q. What should be identified in the early phase of requirements definition regarding data quality?

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Q. What is the role of metadata in a data warehouse?

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Q. What is the role of metadata in connecting user queries with the database components?

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Q. Why might a tool that is ideally suited for one data warehouse be a complete misfit in another?

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Q. What functions are tools generally available for in data warehousing?

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Q. What is the role of middleware in data warehousing?

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Q. What is the primary purpose of alert systems in data warehousing?

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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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