–> This wizard is used to add, remove dimensions and their relationships.
–> We can add dimensions to another dimension (or) measure group table.
1. No Relationship
6. Data mining
–> The dimension and measure group are not related.
–> The dimension available in the cube but at the times of analysis, it doesn’t participate in its values.
Ex: Removing the relationship between product dimensions and measure group table.
Deploy, Go To Browser and Analysis now the product dimension doesn’t participate in the analysis.
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–> Here dimension adds to a measure group table directly. (Generally, represents ‘Star Schema’ structure)
–> When we are going to this, we should have proper key relationships between dimension & FACT.
Eg: Adding product dimension to the measure group table.
Product ID – –> CLICK –>
Select Relationship Type: Regular
Granularity Attribute: PRODUCT ID
Dimension Table: PRODUCT
Measure Group Table: TEXT_FACT
Dimensions Columns Measure Group Columns
Product ID Product ID
Deploy –> Go To Browser & analyze, now product table participates in the analysis.
–> The dimension table is joined to an intermediate dimension table, which in turn, is joined to the font table.
–> It provides the ‘Snow Flake’ schema type of structure.
–> We require approximate column references between suitable to main tbale.
Eg: Connecting sub product dimension to a product dimension.
Sub Product ID – –> CLICK –>
Selection Relationship type : Reference
Reference Dimension : Product
Intermediate Dimension: RAW SUBPRODUCT
Reference Dimension Attribute : Product ID
Intermediate Dimension Attribute : Subproduct ID
–> The dimension is the fact table here.
–> Generally textual information represents dimension information and numeric information represents fact information in this table.
–> These types of cubes are called “Standalone Cubes”.
Many – To – Many Relationship
–> The dimension table is joined to an intermediate fact table. The intermediate fact table is joined, inurn, to an intermediate dimension table table to which the fact table is joined.
Data Mining Relationship
–> The target dimension is based on a mining model built from the source dimension.
The source dimension must also be included in the cube.
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