Data Warehousing / Data Mart Dimensional Models Assignment | homework help websites

Choose one of the data warehousing / data mart dimensional models listed below. Copy the data model into a MS Word document. In your MS Word document. (You can copy the data model graphic by right-clicking on it. On PCs, the keyboard combination of ctrl-V is the shortcut command for pasting.) In the MS Word document, 1) identify the fact table 2) identify the dimension tables, 3) for each dimension table, identify the attribute(s) that would be matched to an attribute in the fact table, and 4) list four queries that could be produced from this data model. For example, the queries from a data model of real estate sales that could typically be produced by matching a fact table to one or more dimension tables include: a) list of properties sold by each real estate agent, b) total properties sold by state, c) types of properties sold by month and year, d) dollar value of properties sold by each real estate company, e) total homes sold by real estate agent by company by year.

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  • DataMart for FX Deals (Links to an external site.)
  • Insurance Data Warehouse / Dimensional Model (Links to an external site.)
  • Dimensional Model for Logistics & Shipments (Links to an external site.)
  • Star Schema Dimensional Data Model (Links to an external site.)
  • Advertising Dimensional Model (Links to an external site.)
  • A Retail Bank Dimensional Model (Links to an external site.)
  • Dimensional Data Model for eCommerce (Links to an external site.)
  • A Dimensional Model for Activity-Based Costing (Links to an external site.)
  • Investment Banking Model (Links to an external site.)
  • Dimensional Data Model for Logistics (Links to an external site.)

Submit your MS Word document.

Resources: These are the same resources used for the Week 6 – Data Warehouse Assignment.

  • Textbook: Module 13 – Business Intelligence and Data Warehousing
  • Video: Module 13 – Introduction to Data Warehousing (5:27 min.)
  • PowerPoint: Module 13 Review charts

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