Implementing Data Models and Reports with Microsoft® SQL Server®

Describe the elements of a typical BI solution.

Select appropriate Microsoft technologies for a BI solution.

Describe key considerations for planning a BI project.

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

Creating a Data Source

Creating and Modifying a Data Source View

Creating and Modifying a Cube

Adding a Dimension

After completing this module, you will be able to:

Describe the considerations for a multidimensional database

Create data sources and data source views

Create a cube

Implement security in a multidimensional database

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

Configuring Dimensions and Attributes

Creating Hierarchies

Creating a Hierarchy with Attribute Relationships

Creating a Ragged Hierarchy

Browsing Dimensions and Hierarchies in a Cube

After completing this module, you will be able to:

Configure dimensions

Define attribute hierarchies

Sort and group attributes

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

Configuring Measures

Defining a Regular Relationship

Configuring Measure Group Storage

After completing this module, you will be able to:

Configure measures

Configure measure groups

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

Creating Calculated Members

Querying a Cube by Using MDX

After completing this module, you will be able to:

Describe MDX

Add calculations to a cube

Describe how to use MDX in client applications

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

Implementing an Action

Implementing Perspectives

Implementing a Translation

After completing this module, you will be able to:

Implement Key Performance Indicators

Implement Actions

Implement Perspectives

Implement Translations

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

Creating an Analysis Services Tabular Data Model Project

Configuring Columns and Relationships

Deploying an Analysis Services Tabular Data Model

After completing this module, you will be able to:

Describe Analysis Services tabular data model projects

Implement an Analysis Services tabular data model

Use an Analysis Services tabular data model

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

Creating Calculated Columns

Creating Measures

Creating a KPI

Implementing a Parent-Child Hierarchy

After completing this module, you will be able to:

Describe the fundamentals of DAX

Use DAX to create calculated columns and measures

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

After completing this module, you will be able to:

Describe the key features of Reporting Services

Use Report Designer to create a report

Group and aggregate data in a report

Publish and view a report

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

Adding a Chart to a Report

Adding Parameters to a Report

Using Data Bars and Sparklines

Using a Map

After completing this module, you will be able to:

Use charts and other visualizations to show data graphically in a report

Use parameters to filter data in a report

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

After completing this module, you will be able to:

Configure security settings for a report server.

Configure report execution settings to optimize performance.

Use subscriptions and alerts to automate report and data delivery.

Troubleshoot reporting issues

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

Creating a SharePoint Server Site for BI

Configuring PerformancePoint Data Access

Creating PerformancePoint Reports

Creating a PerformancePoint Scorecard

Creating a PerformancePoint Dashboard

After completing this module, you will be able to:

Describe SharePoint Server as a BI platform

Use PerformancePoint Services to deliver BI functionality

Configure PerformancePoint Data Sources

Create Reports, Scorecards, and Dashboards

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

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

After completing this module, you will be able to:

Describe the key data mining concepts and use the Data Mining Add-ins for Excel

Create a data mining solution

Validate data mining models

Use data mining data in a report