Applies to: SQL Server Analysis Services Azure Analysis Services Power BI Premium
A perspective is a definition that allows users to see a cube in a simpler way. A perspective is a subset of the features of a cube. A perspective enables administrators to create views of a cube, helping users to focus on the most relevant data for them. A perspective contains subsets of all objects from a cube. A perspective cannot include elements that are not defined in the parent cube.
A simple Perspective object is composed of: basic information, dimensions, measure groups, calculations, KPIs, and actions. Basic information includes the name and the default measure of the perspective. The dimensions are a subset of the cube dimensions. The measure groups are a subset of the cube measure groups. The calculations are a subset of the cube calculations. The KPIs are a subset of the cube KPIs. The actions are a subset of the cube actions.
A cube has to be updated and processed before the perspective can be used.
Cubes can be very complex objects for users to explore in Microsoft SQL Server SQL Server Analysis Services. A single cube can represent the contents of a complete data warehouse, with multiple measure groups in a cube representing multiple fact tables, and multiple dimensions based on multiple dimension tables. Such a cube can be very complex and powerful, but daunting to users who may only need to interact with a small part of the cube in order to satisfy their business intelligence and reporting requirements.
In Microsoft SQL Server SQL Server Analysis Services, you can use a perspective to reduce the perceived complexity of a cube in SQL Server Analysis Services. A perspective defines a viewable subset of a cube that provides focused, business-specific or application-specific viewpoints on the cube. The perspective controls the visibility of objects that are contained by a cube. The following objects can be displayed or hidden in a perspective:
Key Performance Indicators (KPIs)
Calculations (calculated members, named sets, and script commands)
For example, the Adventure Works cube in the Adventure Works DW Multidimensional 2012 sample SQL Server Analysis Services database contains eleven measure groups and twenty-one different cube dimensions, representing sales, sales forecasting, and financial data. A client application can directly reference the complete cube, but this viewpoint may be overwhelming to a user trying to extract basic sales forecasting information. Instead, the same user can use the Sales Targets perspective to limit the view of the Adventure Works cube to only those objects relevant to sales forecasting.
Objects in a cube that are not visible to the user through a perspective can still be directly referenced and retrieved using XML for Analysis (XMLA), Multidimensional Expressions (MDX), or Data Mining Extensions (DMX) statements. Perspectives do not restrict access to objects in a cube and should not be used as such; instead, perspectives are used to provide a better user experience while accessing a cube.
A perspective is a read-only view of the cube; objects in the cube cannot be renamed or changed by using a perspective. Similarly, the behavior or features of a cube, such as the use of visual totals, cannot be changed by using a perspective.
Perspectives are not meant to be used as a security mechanism, but as a tool for providing a better user experience in business intelligence applications. All security for a particular perspective is inherited from the underlying cube. For example, perspectives cannot provide access to objects in a cube to which a user does not already have access. - Security for the cube must be resolved before access to objects in the cube can be provided through a perspective.