Star Schema in Data Warehousing
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Questions and Answers

In a star schema, what does the fact table contain?

  • Product, customer, time, and location
  • Foreign key relationships
  • Descriptive attributes
  • Measures of interest (correct)
  • What do the dimension tables in a star schema contain?

  • Measures of interest
  • Foreign key relationships
  • Descriptive attributes of the measures in the fact table (correct)
  • Specific events or transactions
  • How is each dimension table joined to the fact table in a star schema?

  • Through a foreign key relationship (correct)
  • By containing measures of interest
  • By describing the attributes of the measures
  • By organizing data into a central fact table
  • What is an example of a measure that might be found in a sales data warehouse's fact table in a star schema?

    <p>Sales revenue</p> Signup and view all the answers

    What are the dimension tables used for in a star schema?

    <p>Slicing and dicing the data in the fact table</p> Signup and view all the answers

    Study Notes

    Star Schema

    • The fact table contains measures, which are numerical values that can be aggregated and analyzed, such as sales amounts, quantities, or revenues.
    • The dimension tables contain descriptive attributes, which provide context to the measures in the fact table, such as dates, customers, products, or locations.

    Joining Dimension Tables to Fact Table

    • Each dimension table is joined to the fact table through a foreign key, which is a common column between the two tables.

    Example of Measure in Fact Table

    • A sales data warehouse's fact table might contain measures such as total sales, average order value, or units sold.

    Purpose of Dimension Tables

    • Dimension tables are used to provide context and filter the data in the fact table, allowing analysts to slice and dice the data by different dimensions, such as analyzing sales by region, product, or time period.

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    Description

    Test your knowledge about the star schema, a data modeling technique used in data warehousing. Learn about the organization of data into fact and dimension tables in this important data warehousing concept.

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