![]() ![]() The granularity of a fact table is a common way to describe it. Understanding the Granularity of a Fact Table Shrunken Rollup Dimensions: The dimensions that are created by subdividing the base dimension's columns and rows are known as shrunken rollup dimensions.Sparse Data: Some records in the fact table have characteristics with null values or measurements, which means that the information they contain is not given or provided.Degenerated Dimensions: A degenerated dimension is any dimension or attribute that is available in the fact table but cannot be added to or is non-additive.A successful fact table must be designed at the highest level. Fact Table Grain: The level of detail or depth of the information recorded in a fact table is referred to as the table's grain.Quasi-measures are those that store the fundamental unit of measurement for any business process, whereas semi-additive measures add measures to some dimensions but not to all. Measures that are applied to all dimensions are referred to as fully addition or additive measures. Additive Measures: The fact table's attributes may be entirely, partially, or not at all additive. ![]() A concatenated key is one such key that specifically identifies the row of the fact table. Keys: Each fact table has a key that is made up of the primary keys from all of the dimension tables connected to that fact table.Outrigger Dimensions: Outrigger dimensions are dimensions that refer to any other dimension table.The following are some of the characteristics of a fact table: Let us look at some of the main characteristics of a Fact Table. They are useful for evaluating dimensional attributes because they provide additive values that can act as independent variables. ![]()
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