Q. What challenges arise with an OLAP engine that relies on the RDBMS for multidimensional processing?

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Q. How does the number of concurrent users impact an OLAP system that depends on the RDBMS?

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Q. What are two problems associated with an OLAP engine that generates SQL to access summary data and performs all processing on a middle tier?

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Q. What is a potential issue with an OLAP engine that relies completely on the RDBMS for multidimensional processing?

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Q. What is an advantage of an intelligent OLAP engine in distributing joins, aggregations, and calculations?

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Q. What does the intelligent OLAP engine have the ability to do regarding the type of request and its optimal processing location?

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Q. How does the intelligent OLAP engine contribute to system processing in a Web-enabled data warehouse?

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Q. What is the primary purpose of a data warehouse in the context of the Web?

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Q. How has the Web changed the design and deployment of data warehouses?

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Q. What is the result of matching up the features of the data warehouse with the characteristics of the Web?

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Q. How is Web-based information delivery different from traditional methods?

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Q. What considerations are we now ready to review after covering Web-based information delivery and OLAP in relation to the Web?

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Q. What term did Dr. Ralph Kimball popularize in mid-1999, emphasizing the central stage of the data warehouse in the Web revolution?

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Q. What is a principal feature of the data Webhouse, according to Dr. Ralph Kimball?

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Q. What is the key to information delivery in a data Webhouse?

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Q. What is a serious concern in the data Webhouse due to its openness?

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Q. What types of data does the Web support in a data Webhouse?

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Q. Why is user interface design of paramount importance in a data Webhouse?

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Q. What architecture does the data Webhouse necessitate due to its nature?

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Q. Why is the Web never sleeps in the context of a data Webhouse?

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