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    In Data Warehouse Modeling, a star schema and a snowflake schema consists of Fact and Dimension tables.

    Fact Table:

    • It contains all the primary keys of the dimension and associated facts or measures(is a property on which calculations can be made) like quantity sold, amount sold and average sales.

    Dimension Tables:

    • Dimension tables provides descriptive information for all the measurements recorded in fact table.

    • Dimensions are relatively very small as comparison of fact table.

    • Commonly used dimensions are people, products, place and time.

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    Wikipedia
    https://en.wikipedia.org/wiki/Dimension_(data_warehouse)

    Dimension (data warehouse) - Wikipedia

    In a data warehouse, dimensions provide structured labeling information to otherwise unordered numeric measures. The dimension is a data set composed of individual, non-overlapping data elements . The primary functions of dimensions are threefold: to provide filtering, grouping and labelling. See more

    Overview

    A dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. Commonly used dimensions are people, products, place and time. (Note: People and time sometimes are not … See more

    Types

    Slowly changing dimensions
    A slowly changing dimension is a set of data attributes that change slowly over a period of time rather than changing regularly e.g. … See more

    Dimension table

    In data warehousing, a dimension table is one of the set of companion tables to a fact table.
    The fact table … See more

    See also

    • Categorical variable
    • Data warehouse
    • Degenerate dimension
    • Slowly changing dimension
    • Fact table See more

    Overview image
    Use of ISO representation terms

    When referencing data from a metadata registry such as ISO/IEC 11179, representation terms such as "Indicator" (a boolean true/false … See more

    Common patterns

    Date and time
    Source:
    Since many fact tables in a data warehouse are time series of observations, one or more date dimensions are often needed. One of the reasons to have date … See more

     
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  4. Stack Overflow
    https://stackoverflow.com/questions/20036905

    Difference between Fact table and Dimension table?

    WebMay 8, 2023 · In Data Warehouse Modeling, a star schema and a snowflake schema consists of Fact and Dimension tables. Fact Table: It …

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    • People also ask
      When should dimensions be used in a data warehouse?When facts or fact tables are employed, dimensions should be used. The dimensions of a fact are stored in a dimension table linked to the fact table by a foreign key. robustMuchreport in the context of a data warehouse, a is no limit to the number of dimensions that can be used, and each dimension can include one or more hierarchical relationships.

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      What is data warehouse?In summary, a data warehouse provides a structured repository for historical data, supporting decision-makers and enhancing business insights ..
      Includes AI generated content
      What are the characteristics of a data warehouse?One of the signature characteristics of most data warehouses is that the data is structured into fact and dimension tables. Fact tables contain the business measures (metrics), which can be anything from revenue to costs to premium payment amounts.

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      How does a data warehouse use fact and dimension tables?Here’s how the data warehouse using Fact and Dimension tables can help answer it: The Fact table ‘Sales’ keeps records of every sale made, including the quantity sold, total sales value, and the keys related to time, product, and customer. The Product Dimension table provides information about the product categories.

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