From the diagram below, explore how you can really bolster its analytic horsepower by including data from
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From the diagram below, explore how you can really bolster its analytic horsepower by including data from other data sources. They could be publicly available data sources, like U.S. Census or World Health Organization data, or they may be from new primary data sources that you create (like a survey) to gather more variables to help boost the validity of your research design.
. Explaining the data warehouse options that would be the best fit to boost your analytic horsepower.
- Summarize the starting schema that you have as your base design, from which you want to add in new data sources.
- Research several additional new data sources that will bolster your research and choose a minimum of three that will achieve that objective. Describe how each new source will add to the analytic horsepower of your intended output.
- Establish a new theoretical design for warehousing these new sources (new star schema perhaps to meet the need of including these new data).
- Make a new schema of what the additional data sources (1-3 tables per source) will look like. You may just add the newly proposed tables to the entity-relationship diagram from the diagram above (there is no need to make a new database for this; just depict what the new data schema would look like with the new data sources added in)
- Conclude with your best choice to store and manage your data and explain your reasons.
Related Book For
Smith and Roberson Business Law
ISBN: 978-0538473637
15th Edition
Authors: Richard A. Mann, Barry S. Roberts
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