Note
Access to this page requires authorization. You can try signing in or changing directories.
Access to this page requires authorization. You can try changing directories.
Applies to: 
SQL Server Analysis Services 
Azure Analysis Services
Fabric/Power BI Premium
A data source view (DSV) is an abstraction of a relational data source that becomes the basis of the cubes and dimensions you create in a multidimensional project. The purpose of a DSV is to give you control over the data structures used in your project, and to work independently of the underlying data sources (for example, the ability to rename or concatenate columns without directly modifying the original data source).
You can build multiple data source views in an SQL Server Analysis Services project or database on one or more data sources, and construct each one to satisfy the requirements for a different solution.
Defining a Data Source View (Analysis Services)
Adding or Removing Tables or Views in a Data Source View (Analysis Services)
Change Properties in a Data Source View (Analysis Services)
Define Logical Relationships in a Data Source View (Analysis Services)
Define Logical Primary Keys in a Data Source View (Analysis Services)
Define Named Calculations in a Data Source View (Analysis Services)
Define Named Queries in a Data Source View (Analysis Services)
Replace a Table or a Named Query in a Data Source View (Analysis Services)
Work with Diagrams in Data Source View Designer (Analysis Services)
Explore Data in a Data Source View (Analysis Services)
Delete a Data Source View (Analysis Services)
Refresh the Schema in a Data Source View (Analysis Services)
Schema Generation Wizard (Analysis Services)
Supported Data Sources (SSAS - Multidimensional)