Q. What is crucial for the data Webhouse to be open to all groups of users, both inside and outside the enterprise?

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Q. What modeling technique does Dr. Ralph Kimball recommend to achieve basic architectural coherence among the distributed units of a data Webhouse?

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Q. What task can be assigned to local groups of participants in a distributed data Webhouse environment?

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Q. How can all units in a data Webhouse become aware of the complete set of definitions for dimensions and facts?

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Q. How are conformed dimension tables and conformed fact tables often implemented in a data Webhouse?

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Q. In a distributed data Webhouse, how can the query tool or report writer make the distributed collection work as a cohesive whole?

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Q. What is essential for the query tool to do in a distributed data Webhouse configuration?

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Q. Why is true thin-client technology like Java likely to provide a zero-administration client setup in a data Webhouse?

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Q. What is the expectation regarding the client technology in a data Webhouse?

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Q. What role does the HTTP server play in many Web applications, and why might it be a point of congestion?

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Q. What is a recommendation for handling complex analysis in a data Webhouse?

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Q. What sets apart the architecture of Web-enabled data warehousing from traditional two-tier or three-tier client/server architectures?

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Q. Why is a firewall implemented in the architecture for Web-enabled data warehousing?

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Q. In the Web Processing Model, how are HTML pages translated for information delivery?

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Q. What does the model illustrating HTML pages represent in the Web Processing Model?

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Q. What significant results are produced by the convergence of the Web with data warehousing?

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Q. What features need to be incorporated when adapting a data warehouse to the Web?

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Q. How does Web-based information delivery impact the usage of data warehouses?

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Q. What benefits result from the combination of OLAP and Web technologies?

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Q. What is a critical consideration when adapting a data warehouse to the open nature of the Web?

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