Q. What is the primary reason for mainframes being rarely used for data warehousing?

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Q. Which option is generally robust and adapted for parallel processing, making it a common choice for data warehouses?

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Q. What does a computing platform typically consist of?

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Q. In the single platform option for data warehousing, where are all functions from data extraction to query processing performed?

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Q. What is a benefit of the single platform option for data warehousing?

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Q. In the context of the single platform option for data warehousing, what type of legacy systems are often used?

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Q. Why do many companies not adopt the single-platform option for data warehousing?

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Q. What is a critical consideration for adopting the single-platform solution for data warehousing?

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Q. What is the main challenge when trying to implement a single-platform solution for data warehousing in corporations with multiple legacy platforms?

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Q. What do most corporations follow in terms of the path of computing platforms?

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Q. What is the conclusion that most companies come to after examining legacy systems and modern applications in their corporations?

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Q. Where is it best to perform the data extraction function in a data warehouse?

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Q. In which step is the data from all sources reconciled and consolidated in some data warehouses?

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Q. Where is the best place to perform the Transformation and Consolidation step in data acquisition?

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Q. Where is the Validation and Final Quality Check step usually performed in data acquisition?

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Q. Which step creates load images for the database files of the data warehouse repository?

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Q. What is the ideal platform for the staging area in a data warehouse?

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Q. If most of your legacy data sources are on the same platform with extra capacity, where should you consider keeping your data staging area?

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Q. What advantage can be gained by keeping the data staging area on the Data Storage Platform in a data warehouse?

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Q. Why might a separate platform for data staging be advantageous in a data warehouse?

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