What is the purpose of building cube?

What is the purpose of building cube?

Overview of Cubes A cube is an Analysis Services object that provides a multidimensional representation of data. When you build a cube in Analysis Services, you define measures and dimensions.

Why do we need OLAP cube?

OLAP provides the building blocks for business modeling tools, Data mining tools, performance reporting tools. Allows users to do slice and dice cube data all by various dimensions, measures, and filters. It is good for analyzing time series. Finding some clusters and outliers is easy with OLAP.

What is cube and dimension in SSAS?

SSAS dimensions are groups of attributes based on columns from tables or views in a data source view. A dimension that exists independent of a cube is called a database dimension and an instance of a database dimension within a cube is called a cube dimension.

What is a cube in data analysis?

A data cube refers is a three-dimensional (3D) (or higher) range of values that are generally used to explain the time sequence of an image’s data. It is a data abstraction to evaluate aggregated data from a variety of viewpoints.

How do you create a cube in Analysis Services?

Creating a Cube for SQL Analysis Services

1. In the Solution Explorer, right-click Cubes and select New Cube.
2. Select “Use existing tables” and click Next.
3. Select the tables that will be used for measure group tables and click Next.
4. Select the measures you want to include in the cube and click Next.

Why is OLAP process important?

OLAP enables one to organize data in a multidimensional model that makes it easy for business users to understand the data and to use it in a business context, such as a budget.

What is attribute in cube?

Cube attributes provide information about the purpose of cubes. An example of a cube attribute is the CUBE_TYPE attribute. This attribute is used to indicate that a cube is a metrics cube. The value is METRICS.

What is Dimension in cube?

A database dimension is a collection of related objects, called attributes, which can be used to provide information about fact data in one or more cubes. An instance of a database dimension in a cube is called a cube dimension and relates to one or more measure groups in the cube.

How does a data cube work?

A data cube is created from a subset of attributes in the database. Specific attributes are chosen to be measure attributes, i.e., the attributes whose values are of interest. Another attributes are selected as dimensions or functional attributes. The measure attributes are aggregated according to the dimensions.

How do you make a cube?

Steps:

1. Open BIDS.
2. Create data source.
3. Create data source view.
4. Provide relationship between dimensions and facts.
5. Create a cube.
6. Manipulate the components (action, KPI ….. ETC )
7. Deploy the cube.
8. Browser cube (or) perform re conclusion (or) unit testing.