Implementing Data Models and Reports with Microsoft SQL Server 2012

Describe common BI scenarios and current BI trends.

Describe the main technologies that make up the Microsoft BI platform.

This module discusses the tools and techniques a professional business intelligence developer can use to create and publish reports with SQL Server Reporting Services.

Introduction to Reporting Services

Creating a Report with Report Designer

Grouping and Aggregating Data in a Report

Showing Data Graphically

Filtering Reports by Using Parameters

Publishing and Viewing a Report

Creating a Report

Grouping and Aggregating Data

Adding a Chart to a Report

Adding Parameters to a Report

Publishing a Report

After completing this module, students 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.

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

Use parameters to filter data in a report.

Publish and view a report.

This module describes Microsoft SQL Server Reporting Services features that you can use to enable self-service reporting.

Introduction to Self Service Reporting

Shared Data Sources and Datasets

Report Parts

Using Report Builder

Simplifying Data Access for Business Users

Using Report Parts

After completing this module, students will be able to:

Support self-service reporting with Report Builder.

Create shared data sources and datasets for self-service reporting scenarios.

Use report parts as reusable report elements.

This module describes how to apply security settings and configure reports for delivery.

Managing Report Security

Managing Report Execution

Subscriptions and Data Alert

Troubleshooting Reporting Services

Configuring Report Execution

Implementing a Standard Subscription

Implementing a Data-Driven Subscription

After completing this module, students 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.

The fundamental purpose of using SQL Server Analysis Services online analytical processing (OLAP) solutions is to build cubes that you can use to perform complex queries and return the results in a reasonable time. This module provides an introduction to multidimensional databases and introduces the core components of an 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

After completing this module, students 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.

In SQL Server Analysis Services, dimensions are a fundamental component of cubes. This module provides an insight into the creation and configuration of dimensions and dimension hierarchies.

Configuring Dimensions

Defining Attribute Hierarchies

Sorting and Grouping Attributes

Configuring Dimensions

Defining Relationships and Hierarchies

Sorting and Grouping Dimensions Attributes

After completing this module, students will be able to:

Configure dimensions.

Define attribute hierarchies.

Sort and group attributes.

A measure represents a column that contains quantifiable data, usually numeric, that you can aggregate. This module describes measures and measure groups. The module also explains how you can use measures to define fact tables and associate dimensions.

Working with Measures

Working with Measure Groups

Configuring Measures

Defining Dimension Usage and Relationships

Configuring Measure Group Storage

After completing this module, students will be able to:

Describe measures.

Describe measure groups.

Multidimensional Expressions (MDX) is the query language that you use to work with and retrieve multidimensional data in SQL Server Analysis Services. This module describes the fundamentals of MDX. It also 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

Querying a Cube by Using MDX

Creating a Calculated Member

After completing this module, students will be able to:

Describe MDX.

Add calculations to a cube.

Describe how to use MDX in client applications.

In this module, you will learn how to customize cube functionality by using several technologies available to you in SQL Server Analysis Services. These technology customizations include: Key Performance Indicators, Actions, Perspectives, and Translations.

Working with Key Performance Indicators

Working with Actions

Working with Perspectives

Working with Translations

Implementing an Action

Implementing a Perspective

Implementing a Translation

After completing this module, students will be able to:

Describe Key Performance Indicators.

Implement Actions.

Explain Perspectives.

Describe Translations.

This module introduces tabular data models, explains how to install and use the PowerPivot for Excel add-in, and describes how to share a workbook to PowerPivot Gallery.

Introduction to Tabular Data Models and PowerPivot Technologies

Creating a Tabular Data Model by Using PowerPivot for Excel

Sharing a PowerPivot Workbook and Using PowerPivot Gallery

Creating a Tabular Data Model by Using PowerPivot for Excel

Using a Tabular Data Model in Excel

Sharing a PowerPivot Workbook to PowerPivot Gallery

Using a PowerPivot Workbook as a Data Source

After completing this module, students will be able to:

Describe the key features and benefits of tabular data models and PowerPivot technologies.

Create a PowerPivot for Excel workbook.

Share a PowerPivot for Excel workbook to PowerPivot Gallery and use a PowerPivot for Excel workbook as a data source.

This module covers 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 these in your tabular data models.

DAX Fundamentals

Using DAX to Create Calculated Column and Measures in a Tabular Data Model

Creating Calculated Columns

Creating Measures

Using Time Intelligence

Creating a Dynamic Measure

After completing this module, students will be able to:

Describe the fundamentals of DAX.

Use DAX to create calculated columns and measures.

With SQL Server 2012, you can install Analysis Services in Tabular mode and create tabular data models that information workers can access by using tools such as Excel and Power View. This module describes Analysis Services tabular data models and explains how to develop a tabular data model by using the SQL Server Data Tools.

Introduction to Analysis Services Tabular Data Model Projects

Developing an Analysis Services Tabular Data Model in SQL Server Data Tools

Creating an Analysis Data Services Tabular Data Model from a PowerPivot Workbook

Implementing a Perspective

Implementing Partitions

Deploying an Analysis Services Tabular Data Model

Enabling Access to a Tabular Data Model

Configuring DirectQuery Storage Model

Implementing Security in a Tabular Data Model

After completing this module, students will be able to:

Describe Analysis Services tabular data model Projects.

Implement an Analysis Services tabular data model by Using SQL Server Data Tools.

SQL Server 2012 introduces Power View, a SharePoint-based data exploration tool that provides a way for information workers to interactively create data visualizations that help them to better understand the data that they are working with. This module introduces Power View and describes how you can use it to create a range of different types of reports quickly and easily.

Introduction to Power View

Visualizing Data with Power View

Modify the Tabular Data Model

Create a Simple Power View Report

Using Interactive Visualizations

Create a Scatter Chart and a Play Axis

After completing this module, students will be able to:

Describe the Power View and its place in the BI ecosystem.

Create data visualizations by using Power View.

SQL Server Analysis Services includes data mining tools that you can use to identify patterns in your data, helping you to determine why particular things happen and to predict what will happen in the future. 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 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 Solution

Consuming a Data Mining Solution

Using Table Analysis Tools

Creating a Data Mining Model

Using the Data Mining Add-in for Excel

Validating Data Mining Models

Using a Data Mining Model in a Report

After completing this module, students 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.