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Create a Dimension using Dimension Wizard in SSAS

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by Rajesh Shetty
Last modified: December 14th 2020

Dimension Wizard

–> This wizard is used to add, remove dimensions and their relationships.
–> We can add dimensions to another dimension (or) measure group table.

Relationship Types:

1. No Relationship
2. Regular
3. Fact
4. Referenced
5. Many-to-Many
6. Data mining

No Relationship:

–> 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.
 Fact- Dimension
Ex:  Removing the relationship between product dimensions and measure group table.
 Measure Groups
Deploy, Go To Browser, and Analysis now the product dimension doesn’t participate in the analysis.

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Regular Relationship

–> 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.

Measure Group:

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.

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Referenced Relationship

–> 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 suitable to the main table.
 Referenced Relationship
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

Fact Relationship

–> 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”.
 Fact Relationship

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 to which the fact table is joined.
 Many – To – Many Relationship

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.
 Source dimension must also be included in the cube

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About Author

NameRajesh Shetty
Author Bio

Technical Content Writer