Course : SQL Server Analysis Services

Versions 2022 to 2012

Practical course - 3d - 21h00 - Ref. NAA
Price : 1970 € E.T.

SQL Server Analysis Services

Versions 2022 to 2012



This training course will introduce you to the different ways of performing multidimensional analysis with the SQL Server BI suite. You'll create SQL Server Analysis Services (SSAS) cubes, select, structure and enrich data for interactive analysis and extract relevant information.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. NAA
  3d - 21h00
1970 € E.T.




This training course will introduce you to the different ways of performing multidimensional analysis with the SQL Server BI suite. You'll create SQL Server Analysis Services (SSAS) cubes, select, structure and enrich data for interactive analysis and extract relevant information.


Teaching objectives
At the end of the training, the participant will be able to:
Creating a multidimensional cube with SSAS
Add performance indicators (KPIs) to the cube
Define cube update and deployment modes
Implementing a tabular project with Power Pivot
Explore cube data with various modules (PowerView for Excel, Reporting Services, etc.)

Intended audience
BI managers, developers, project managers or business intelligence consultants, anyone who needs to deploy OLAP solutions in the SQL server environment.

Prerequisites
Basic knowledge of RDBMS and decision support (datamart concepts, star modeling). Experience in SQL.

Course schedule

1
Introduction

  • Recall the principles of multidimensional modeling and OLAP.
  • Star modeling, fact tables, dimension tables.
  • Presentation of the SSAS tool.
  • Essential terminology.

2
The main new features

  • The extension of the UDM: the BISM (BI Semantic Model).
  • The xVelocity tabular model and in-memory engine.
  • The DAX language ("Data Analysis Expression"), an intermediary between SQL and MDX.
  • Le modèle tabulaire de Power Pivot .

3
Multidimensional cube creation

  • Different types of projects (OLAP, tabular).
  • Definition of a data source view in the project.
  • Creation of analysis dimensions and attributes (facts).
  • Relationships between dimensions and measurement groups.
Exercise
Multidimensional cube creation.

4
Enriching the OLAP cube

  • Creating calculated members with the MDX language. MDX syntax.
  • Create performance indicators (KPIs) for a measure.
  • Named games.
  • Data mining: clustering, forecasting, decision trees, etc.
  • Graphical DMX prediction queries.
Exercise
Handling the MDX language. Writing queries. Performing calculations.

5
OLAP cube deployment and security

  • Deployment settings.
  • Cube update modes. Storage (ROLAP, MOLAP, etc.).
  • Security roles.
  • Manage access rights to dimensions.
Exercise
Changes to deployment and security parameters.

6
Power Pivot implementation (tabular)

  • Select and filter data for analysis.
  • Creation of analysis dimensions and attributes (facts).
  • Fact and dimension table display modes.
  • Creation of hierarchies, perspectives.
  • Creation of measures and groups of measures.
  • Generate analysis pivot table. Saving.
Exercise
Creating projects in tabular mode. Handling Power Pivot in Excel.

7
Explore cube data

  • PowerView for Excel and SharePoint.
  • Reporting Services.
  • Analysis in Excel.
Exercise
Design reports on cube data.