You are designing a SQL Server Analysis Services (SSAS) data model on a very large data warehouse.
The fact tables in the data warehouse contain terabytes of data in tens of billions of rows.
You must support the following features:
Complex attribute/column relationships
Advanced calculations in the data model definition
Advanced calculations using logic deployed in a custom assembly
You need to choose the correct SSAS design strategy.
What should you do?
To answer, drag the appropriate term or terms to the correct location or locations in the answer area. (Answer choices may be used once, more than once, or not all.)
Select and Place:
Correct Answer:
Explanation/Reference:
Note:
Box 1:
The primary reason for building an Analysis Services multidimensional model is to achieve fast performance of ad hoc queries against business data. A multidimensional model is composed of cubes and dimensions that can be annotated and extended to support complex query constructions.
Box 2:
A partition is a container for a portion of the measure group data. Partitions are not seen from MDX queries; all queries reflect the whole content of the measure group, regardless of how many partitions are defined for the measure group. The data content of a partition is defined by the query bindings of the partition, and by the slicing expression.
Box 3:
Multidimensional Expressions (MDX) is the query language that you use to work with and retrieve multidimensional data in Microsoft SQL Server 2005 Analysis Services (SSAS).
