## What is granularity attribute in SSAS?

The creation of measure groups at varying levels of granularity is used when two related measures differ by some dimensional level. In this situation, the budget data is typically stored at a higher level of granularity. …

**What is the difference between measures and a measure group?**

A Measure is single numeric value whereas a Measure Group is a collection of measures.

### What is a measure group?

Measure groups are used to associate dimensions with measures. Measure groups are also used for measures that have distinct count as their aggregation behavior. Placing each distinct count measure into its own measure group optimizes aggregation processing.

**Which of the following tab should be used to view the relationship between dimension and measure groups?**

5.In Cube Designer, click the Dimension Usage tab. In this view of the Analysis Services Tutorial cube, you can see the cube dimensions that are used by the Internet Sales measure group. When a cube has multiple measure groups, cube dimensions might be used with some measure groups but not with others.

#### What is meant by granularity of data?

Data granularity is a measure of the level of detail in a data structure. In time-series data, for example, the granularity of measurement might be based on intervals of years, months, weeks, days, or hours.

**What is level in SSAS?**

SQL Server Analysis Services Level Function Levels( Level_Name ) – for this function you specify a Hierarchy or Dimension Expression and you specify either a level number or a level name.

## What is a measure in a data cube?

Measures are the quantitative values in the database that you want to analyze. Typical measures are sales, cost, and budget data. Measures are analyzed against the different dimension categories of a cube.

**What is measure property in data warehouse?**

In a data warehouse, a measure is a property on which calculations (e.g., sum, count, average, minimum, maximum) can be made. …

### What is the relationship between measures and dimensions?

Dimensions affect the level of detail in the view. Measures contain numeric, quantitative values that you can measure. Measures can be aggregated.

**How do you measure granularity?**

The measure simply counts the number of elements of in a set. Based on the cardinality of a set, more granularity measures have been proposed by researchers to capture various semantic interpretations of granularity. One type of granularity measure of a set is derived from an information-theoretic consideration.

#### What is the granularity attribute in a dimension?

The attribute that is specified as the granularity attribute effectively becomes the key attribute within the measure group for the remaining attributes in the dimension. If you do not specify attribute relationships appropriately, Analysis Services will not be able to aggregate values correctly, as you will see in the tasks in this topic.

**How can the granularity of a measure group be set finer?**

The granularity of a measure group can never be set finer than the lowest level of the dimension from which the measure group is viewed, but the granularity can be made coarser by using additional attributes.

## What is the relationship between dimensions and measure groups?

When a dimension has a relationship with a measure group it goes without saying that making a selection on that dimension will affect the values that are displayed for measures on that measure group.

**What determines the grain of data within a measure group?**

By default in Analysis Services, when a dimension is used within a measure group, the grain of the data within that dimension is based on the key attribute of the dimension.

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