Exam 6: Data: Business Intelligence

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What are the primary differences between a data warehouse and a data mart?

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Veracity includes the uncertainty of data, including biases, noise, and abnormalities.

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What is the term for is a broad administrative area that deals with identifying individuals in a system and controlling their access to resources within that system by associating user rights and restrictions with the established identity?

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In terms of big data what is velocity?

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How would the technology industry use business intelligence?

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A data warehouse is a central location in which data is stored and managed.

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Organizational information comes at the same level, formats and granularities.

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Which of the following is not a dirty data problem?

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What are the rules that help ensure the quality of information?

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What is source data?

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Optimization is a statistical process that finds the way to make a design, system, or decision as effective as possible, for example, finding the values of controllable variables that determine maximal productivity or minimal waste.

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Infographics can present the results of large data analysis looking for patterns and relationships that monitor changes in variables over time.

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What maintains information about various types of objects, events, people, and places?

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What is a collection of large, complex data sets, including structured and unstructured data, which cannot be analyzed using traditional database methods and tools?

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Volume includes the uncertainty of data, including biases, noise, and abnormalities.

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What is the application of big data analytics to smaller data sets in near-real or real-time in order to solve a problem or create business value?

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What includes data that change based on user actions?

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Timely information asks if the information current with respect to the business needs.

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Relational databases offer many advantages over using a text document or a spreadsheet, which include decreased flexibility and decreased scalability and performance.

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A data map is a technique for establishing a match, or balance, between the source data and the target data warehouse.

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