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466edited Jul 28, 2018 at 14:51In 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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See all on WikipediaFact table - Wikipedia
In data warehousing, a fact table consists of the measurements, metrics or facts of a business process. It is located at the center of a star schema or a snowflake schema surrounded by dimension tables. Where multiple fact tables are used, these are arranged as a fact constellation schema. A fact table typically … See more
If the business process is sales, then the corresponding fact table will typically contain columns representing both raw facts and aggregations in rows such as:
• $12,000, … See more• Additive - measures that can be added across any dimension.
• Non-additive - measures that cannot be added across any dimension. See more• Identify a business process for analysis (e.g., sales).
• Identify measures of facts (sales dollar), by asking questions like 'what number of X are relevant for the business process?', replacing the X with various options that make sense within … See more
There are four fundamental measurement events, which characterize all fact tables.
Transactional A transactional table is the most basic and fundamental. The grain associated with a … See moreWikipedia text under CC-BY-SA license Differences Between Fact Table and Dimension Table …
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