Dimension Objects (Analysis Services - Multidimensional Data)
A simple Dimension object is composed of basic information, attributes, and hierarchies. Basic information includes the name of the dimension, the type of the dimension, the data source, the storage mode, and others. Attributes define the actual data in the dimension. Attributes do not necessarily belong to a hierarchy, but hierarchies are built from attributes. A hierarchy creates ordered lists of levels, and defines the ways a user can explore the dimension.
The following topics provide more information about how to design and implement dimension objects.
In Microsoft SQL Server Analysis Services, dimensions are a fundamental component of cubes. Dimensions organize data with relation to an area of interest, such as customers, stores, or employees, to users.
Dimensions are collections of attributes, which are bound to one or more columns in a table or view in the data source view.
In Microsoft SQL Server Analysis Services, attributes within a dimension are always related either directly or indirectly to the key attribute. When you define a dimension based on a star schema, which is where all dimension attributes are derived from the same relational table, an attribute relationship is automatically defined between the key attribute and each non-key attribute of the dimension. When you define a dimension based on a snowflake schema, which is where dimension attributes are derived from multiple related tables, an attribute relationship is automatically defined as follows: