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

2. 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

3. 02 | Creating Multi-Dimensional Analysis Services
Chris Testa-O’Neill | Principal Consultant | Claribi
Charley Hanania | Principal Consultant | QS2 AG – Quality Software Solutions

4. 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

5. Getting the Data

6. 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

7. Demo
Getting the Data

8. Working with Dimensions

9. 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

10. 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

11. 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

12. Demo
Creating Dimensions

13. Creating the Cube

14. Creating the Cube Cube wizard Existing Tables Existing Dimension
Empty Cube

15. Browsing the Cube

16. 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

17. Demo
Creating Multi dimensional cubes