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7 The starflake schema is a hybrid containing both ____________ and ____________ dimensions
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normalized, denormalized
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8 A data warehouse is
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A Subject oriented B Integrated from multiple data sources C Time variant D Updated in real time E Organized around one department or business function A, B, and C are correct answers
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9 Challenges with the data warehouse approach include
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A Updating operational data from the data warehouse B Underestimation of required resources C Diminishing user demands D Large, complex projects E High resource demands B, D, and E are correct answers
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Appendix A: Answers to Self Tests
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10 The summary table architecture
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A Was originally developed by Bill Inmon B Includes a fact table C Includes dimension tables D Includes lightly and highly summarized tables E Should include metadata A, D, and E are correct answers
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11 The star schema
A Was developed by Ralph Kimball B Includes a dimension table and one or more fact tables C Always has fully normalized dimension tables D Was a key feature of the Red Brick DBMS E Involves multiple levels of dimension tables A and D are correct answers
12 Factors to consider in designing the fact table include
A Adding columns to the fact table B Reducing column sizes between the source and fact tables C Partitioning the fact table D How often it must be updated E How long history must remain in it B, C, D, and E are correct answers
13 Multidimensional databases
A Use a fully normalized fact table B Are best visualized as cubes C Have fully normalized dimension tables D Are sometimes called MOLAP databases E Accommodate dimensions beyond the third by repeating cubes for each additional dimension B, D, and E are correct answers
14 A data mart
A Is a subset of a data warehouse B Is a shop that sells data to individuals and businesses
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C Supports the requirements of a particular department or business function D Can be a good starting point for organizations with no data warehouse experience E Can be a good starting point when requirements are sketchy A, C, D, and E are correct answers
15 Reasons to create a data mart include
A It is more comprehensive than a data warehouse B It is a potentially lower risk project C Data may be tailored to a particular department or business function D It contains more data than a data warehouse E The project has a lower overall cost than a data warehouse project B, C, and E are correct answers
16 Building a data warehouse first, followed by data marts
A Will delay data mart deployment if the data warehouse project drags on B Has lower risk than trying to build them all together C Has the lowest risk of the three possible strategies D Has the highest risk of the three possible strategies E May require a great deal of rework A and B are correct answers
17 Building one or more data marts first, followed by the data warehouse
A May delay data warehouse delivery if the data mart projects drag on B Has the potential to deliver some OLAP functions more quickly C Has the lowest risk of the three possible strategies D Has the highest risk of the three possible strategies E May require a great deal of rework B, C, and E are correct answers
18 Building the data warehouse and data marts simultaneously
A Creates the largest single project of all the possible strategies B Has the potential to take the longest to deliver any OLAP functions C Has the lowest risk of the three possible strategies D Has the highest risk of the three possible strategies
Appendix A: Answers to Self Tests
E May require a great deal of rework A, B, and D are correct answers
19 Data mining
A Creates a scaled-down data warehouse B Extracts previously unknown data correlations from the data warehouse C Can be successful with small amounts of data D Is most useful when the organization is agile enough to take action based on the information E Usually requires large data volumes in order to produce accurate results B, D, and E are correct answers
20 Properties of data warehouse systems include
A Holding historic rather than current information B Long-running queries that process many rows of data C Support for day-to-day operations D Process orientation E Medium to low transaction volume A, B, and E are correct answers
13: Integrating XML Documents and Objects into Databases
1 XML is ____________
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