M20466 Implementing Data Models and Reports with Microsoft SQL Server


The focus of the 5 day M20466 course is on creating managed enterprise BI solutions. It describes how to implement multidimensional and tabular data models, deliver reports with Microsoft SQL Server Reporting Services, create dashboards with Microsoft SharePoint Server PerformancePoint Services, and discover business insights by using data mining.

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Target Audience:

This course is intended for database professionals who need to fulfil a Business Intelligence Developer role to create analysis and reporting solutions. Primary responsibilities include:

¨       Implementing analytical data models, such as OLAP cubes.

¨       Implementing reports, and managing report delivery.

¨       Creating business performance dashboards.

¨       Supporting data mining and predictive analysis.


M20466 Prerequisites:

At least 2 years' experience of working with relational databases, including:

¨       Designing a normalized database.

¨       Creating tables and relationships.

¨       Querying with Transact-SQL.

¨       Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).

¨       Some exposure to basic programming constructs (such as looping and branching).

¨       An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.


Delegates will learn how to

At the end of this course you will be able to:

¨       Describe the components, architecture, and nature of a BI solution.

¨       Create a multidimensional database with Analysis Services.

¨       Implement dimensions in a cube.

¨       Implement measures and measure groups in a cube.

¨       Use MDX Syntax.

¨       Customize a cube.

¨       Implement a Tabular Data Model in SQL Server Analysis Services.

¨       Use DAX to enhance a tabular model.

¨       Create reports with Reporting Services.

¨       Enhance reports with charts and parameters.

¨       Manage report execution and delivery.

¨       Implement a dashboard in SharePoint Server with PerformancePoint Services.

¨       Use Data Mining for Predictive Analysis.


M20466 Course Outline 

Module 1: Introduction to Business Intelligence and Data Modelling

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

Lab : Exploring a BI Solution

Exploring the Data Warehouse

Exploring the Analysis Services Data Model

Exploring Reports


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

Lab : Creating a Multidimensional Database

Creating a Data Source

Creating and Modifying a Data Source View

Creating and Modifying a Cube

Adding a Dimension


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

Lab : Defining Dimensions

Configuring Dimensions and Attributes

Creating Hierarchies

Creating a Hierarchy with Attribute Relationships

Creating a Ragged Hierarchy

Browsing Dimensions and Hierarchies in a Cube


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

Lab : Configuring Measures and Measure Groups

Configuring Measures

Defining a Regular Relationship

Configuring Measure Group Storage


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

Lab : Using MDX

Creating Calculated Members

Querying a Cube by Using MDX


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

Lab : Customizing a Cube

Implementing an Action

Implementing Perspectives

Implementing a Translation


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

Lab : Implementing an Analysis Services Tabular Data Model

Creating an Analysis Services Tabular Data Model Project

Configuring Columns and Relationships

Deploying an Analysis Services Tabular Data Model


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

Lab : Using DAX to Enhance a Tabular Data Model

Creating Calculated Columns

Creating Measures

Creating a KPI

Implementing a Parent-Child Hierarchy


Module 9: Implementing Reports with SQL Server Reporting Services

This module introduces Microsoft SQL Server Reporting Services and discusses the tools and techniques that a professional BI developer can use to create and publish reports.


Introduction to Reporting Services

Creating a Report with Report Designer

Grouping and Aggregating Data in a Report

Publishing and Viewing a Report

Lab : Creating a Report with Report Designer

Creating a Report

Grouping and Aggregating Data

Publishing a Report


Module 10: Enhancing Reports with SQL Server Reporting Services

This module describes how to enhance a SQL Server reporting Services report with charts and other visualizations, and how to use parameters to filter data in a report.


Showing Data Graphically

Filtering Reports by Using Parameters

Lab : Enhancing a Report

Adding a Chart to a Report

Adding Parameters to a Report

Using Data Bars and Sparklines

Using a Map


Module 11: Managing Report Execution and Delivery

This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports.


Managing Report Security

Managing Report Execution

Subscriptions and Data Alerts

Troubleshooting Reporting Services

Lab : Configuring Report Execution and Delivery

Configuring Report Execution

Implementing a Standard Subscription

Implementing a Data-Driven Subscription


Module 12: Delivering BI with SharePoint PerformancePoint Services

This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.


Introduction to SharePoint Server as a BI Platform

Introduction to PerformancePoint Services

PerformancePoint Data Sources and Time Intelligence

Reports, Scorecards, and Dashboards

Lab : Implementing a SharePoint Server BI Solution

Creating a SharePoint Server Site for BI

Configuring PerformancePoint Data Access

Creating PerformancePoint Reports

Creating a PerformancePoint Scorecard

Creating a PerformancePoint Dashboard


Module 13: Performing Predictive Analysis with Data Mining

This module introduces data mining, describes how to create a data mining solution, how to validate data mining models, how to use the Data Mining Add-ins for Microsoft Excel, and how to incorporate data mining results into Reporting Services reports.


Overview of Data Mining

Creating a Data Mining Solution

Validating a Data Mining Model

Consuming Data Mining Data

Lab : Using Data Mining to Support a Marketing Campaign

Using Table Analysis Tools

Creating a Data Mining Structure

Adding a Data Mining Model to a Data Mining Structure

Validating a Data Mining Model

Using a Data Mining Model in a Report


£ 2,195.00 ex.vat

Data sheet

Course Duration 5 Days
Location Various