Updating your Business Intelligence Skills to Microsoft SQL Server 2012

Describe the role of SQL Server in a BI solution.

Describe features of SQL Server 2012 that support enterprise information management.

Describe features of SQL Server 2012 that support data warehousing.

Describe features of SQL Server 2012 that support data analysis and reporting.

This module describes the new and enhanced features in SQL Server Integration Services that can be used to create an ETL solution to load a data warehouse.

Using the CDC Control Task for Incremental Data Loads

Deploying and Operating SSIS Packages

Extracting Modified Data

Deploying and Operating an SSIS Project

After completing this module, students will be able to:

Use the CDC Control task to perform incremental data extractions in an ETL solution.

Deploy and operate an SSIS project.

This module provides an introduction to SQL Server Data Quality Services, and teaches you how to build knowledge based data quality solutions for cleansing and matching data.

Introduction to Data Quality

Using Data Quality Services to Cleanse Data

Using Data Quality Services to Match Data

Creating a DQS Knowledge Base

Using a DQS Project to Cleanse Data

Using DQS in an SSIS Package

Creating a Matching Policy

Using a DQS Project to Match Data

After completing this module, students will be able to:

Describe how Data Quality Services can help you manage data quality.

Use Data Quality Services to cleanse data.

Use Data Quality Services to match data.

This module provides an introduction to master data management with SQL Server 2012 Master Data Services.

Introduction to Master Data Services

Implementing a Master Data Services Model

Managing Master Data

Creating a Master Data Hub

Creating a Master Data Services Model

Using the Master Data Services Add-in for Excel

Enforcing Business Rules

Loading Data into a Model

Consuming Master Data Services Data

After completing this module, students will be able to:

Describe key Master Data Services concepts.

Implement a Master Data Services model.

Use Master Data Services tools to manage master data.

Use Master Data Services tools to create a master data hub.

This module provides an introduction to new and enhanced features in SQL Server 2012 Reporting Services.

Reporting Services Overview

Reporting Services and Microsoft SharePoint Server

Introduction to Data Alerts

Viewing SharePoint Mode Configuration

Authoring, Publishing, and Viewing a Report

Creating and Managing Data Alerts

After completing this module, students will be able to:

Describe the key capabilities of Reporting Services.

Install and configure Reporting Services in SharePoint Mode.

Use data alerts to notify users of changes to report data.

This module provides an introduction to new and enhanced features in PowerPivot.

Introduction to Tabular Data Models and PowerPivot Technologies

Using PowerPivot

Using DAX in a PowerPivot Data Model

Creating a Tabular Data Model by Using PowerPivot for Excel

Using a Tabular Data Model in Excel

Sharing a PowerPivot Workbook to PowerPivot Gallery

Creating Calculated Columns

Creating Measures

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 describes how to create tabular Analysis Services databases.

Introduction to Analysis Services Tabular Data Model Projects

Developing an Analysis Services Tabular Data Model

Creating an Analysis Services Tabular Data Model Project

Implementing a Perspective

Implementing Partitions

Deploying an Analysis Services Tabular Data Model

Using a Tabular Data Model

Configuring DirectQuery Storage Mode

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.

This module provides an introduction to Power View, and describes how it can be used to create interactive data visualizations.

Introduction to Power View

Visualizing Data with Power View

Configuring a Tabular Data Model for Power View

Creating a Simple Power View Report

Using Interactive Visualizations

Creating a Scatter Chart and a Play Axis

Exporting a Power View Report to PowerPoint

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.

This module introduces Microsoft cloud technologies that can be used in a BI solution.

Overview of Cloud Data Sources

SQL Azure

SQL Azure Reporting Services

The Windows Azure Marketplace DataMarket

Creating a SQL Azure Solution

Extracting Data from SQL Azure

Obtaining Data from the Windows Azure Marketplace DataMarket

After completing this module, students will be able to:

Describe cloud data scenarios.

Use SQL Azure.

Use SQL Azure Reporting Services.

Use the Windows Azure Marketplace DataMarket.