Q. What are the advantages of the bottom-up approach in data warehousing?

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Q. What is a major drawback of the bottom-up approach?

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Q. What is the key challenge in the bottom-up approach?

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Q. What is the practical approach that combines elements of both top-down and bottom-up approaches?

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Q. In the Centralized Data Warehouse architectural type, how is data stored in the data warehouse?

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Q. What is a characteristic of Independent Data Marts?

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Q. In the Federated Data Marts architectural type, what is the relationship between the data marts?

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Q. What is a characteristic of the Distributed Data Marts architectural type?

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Q. What is the primary focus of the Hybrid Data Warehousing architectural type?

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Q. In the Hybrid Data Warehousing approach, what is the relationship between data marts and the central data warehouse?

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Q. In the Federated architectural type, how is data integration achieved?

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Q. What is the key difference between the Centralized Data Warehouse and Hub-and-Spoke architectural types?

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Q. What is the principal notion behind the Data-Mart Bus architectural type?

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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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