Implementing Data Models & Reports with Microsoft SQL Server Chris Testa-O’Neill | Principal Consultant | Claribi Charley Hanania | Principal Consultant | QS2 AG – Quality Software Solutions

Course Topics Implementing Data Models and Reports with Microsoft SQL Server 01 | Selecting a Model for Data Analysis 06 | Using Reporting Services 02 | Using Multi-Dimensional Analysis Services 07 | Delivering Reports 03 | Customizing Multi-Dimensional Analysis Services 04 | Creating Tabular Data Models 05 | Maintaining Analysis Services

02 | Creating Multi-Dimensional Analysis Services Chris Testa-O’Neill | Principal Consultant | Claribi Charley Hanania | Principal Consultant | QS2 AG – Quality Software Solutions

Module Overview Getting the data Working with Dimensions Hierarchies Attribute Relationships Creating the Cube Working with Measure and Measure Groups Partitions and aggregation design Browsing the cube

Getting the Data

Getting the Data Data Sources provide connection information. Server Name Authentication Database Data Source Views allow you to define a subset of data from the data source Data Source Wizard Data Source Designer

Demo Getting the Data

Working with Dimensions

Working with Dimensions Provide contextual information for data in a cube Dimensions form the cube axis Key properties include Key Columns Name Columns Order by Time Dimensions

Hierarchies Improve the readability of large dimension data Add levels to dimension data so users can drill down into the data Types of Hierarchies include Balanced (Natural) Hierarchies Parent Child Ragged Hierarchies

Attribute Relationships Define relationships that exist between attributes in a dimension By default, all attributes have a relationship to the key attribute in a star schema Modifying the default behaviour can Result in more effective aggregation designs Increase query performance Reduce memory requirements for processing dimensions Use Attribute relationships tab

Demo Creating Dimensions

Creating the Cube

Creating the Cube Cube wizard Existing Tables Existing Dimension Empty Cube

Browsing the Cube

Measures and Measure Groups Measures are the business metrics stored within a cube Typically map to measures in a Fact table in a data warehouse Can create derived measures using MDX expressions Aggregate property in Measures has additivity issues Storage Mode property: MOLAP, ROLAP and HOLAP Measure Groups typically map to fact tables Measure Groups group measures together Measure Groups map the measure to dimensions

Demo Creating Multi dimensional cubes