Implementing Data Models with Microsoft SQL Server Analysis Services (M20466_SSAS)

Lesmethode :

Klassikaal

Algemeen :

In deze cursus leer je managed enterprise Business Intelligence oplossingen implementeren met SQL Server 2014. Tevens bereiden wij je voor op het MCSE Business Intelligence examen, 70-466: Implementing Data Models and Reports with Microsoft SQL Server.

Je implementeert multidimensional en tabular data models en rapportages met SQL Server Reporting Services. Ook ontwikkel je dashboards met SharePoint PerformancePoint Services en voer je predictive analysis uit met behulp van data mining.

Doel :

Het aanleren van de vaardigheden en het inzicht die nodig zijn om met SQL Server een Business Intelligence oplossing te ontwikkelen.

Doelgroep :

Business Intelligence Developers en consultants die in een Microsoft SQL Server 2012 omgeving een BI oplossing willen bouwen.

Voorkennis :

• Querying Microsoft SQL Server 2012/2014 (M20461)

Onderwerpen :

- Module 1: Introduction to Business Intelligence and Data Modeling
   - As a SQL Server database professional, you may be required to participate in, or perhaps even lead, a project with the aim of implementing an effective enterprise BI solution. Therefore, it is important that you have a good understanding of the various elements that comprise a BI solution, the business and IT personnel typically involved in a BI project, and the Microsoft products that you can use to implement the solution.
   - Elements of an Enterprise BI Solution
   - The Microsoft Enterprise BI Platform
   - Planning an Enterprise BI Project
- Module 2: Creating Multidimensional Databases
   - This module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube.
   - Introduction to Multidimensional Analysis
   - Creating Data Sources and Data Source Views
   - Creating a Cube
   - Overview of Cube Security
- Module 3: Working with Cubes and Dimensions
   - This module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model.
   - Configuring Dimensions
   - Defining Attribute Hierarchies
   - Sorting and Grouping Hierarchies
- Module 4: Working with Measures and Measure Groups
   - This module describes measures and measure groups. It also explains how you can use them to define fact tables and associate dimensions with measures.
   - Working with Measures
   - Working with Measure Groups
- Module 5: Introduction to MDX
   - This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets.
   - MDX Fundamentals
   - Adding Calculations to a Cube
   - Using MDX to Query a Cube
- Module 6: Enhancing a Cube
   - This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.
   - Working with Key Performance Indicators
   - Working with Actions
   - Working with Perspectives
   - Working with Translations
- Module 7: Implementing an Analysis Services Tabular Data Model
   - This module describes Analysis Services tabular data models and explains how to develop a tabular data model using the SQL Server Data Tools for Business Intelligence (BI) add-in for Visual Studio.
   - Introduction to Analysis Services Tabular Data Models
   - Creating a Tabular Data Model
   - Using an Analysis Services Tabular Data Model in the Enterprise
- Module 8: Introduction to DAX
   - This module explains the fundamentals of the DAX language. It also explains how you can use DAX to create calculated columns and measures, and how you can use them in your tabular data models.
   - DAX Fundamentals
   - Enhancing a Tabular Data Model with DAX
- Module 13: Performing Predictive Analysis with Data Mining
   - Overview of Data Mining
   - Creating a Data Mining Solution
   - Validating a Data Mining Model
   - Consuming Data Mining Data