This three-day instructor-led course provides existing SQL Server Business Intelligence (BI) professionals with the knowledge and skills to use new and enhanced BI capabilities in SQL Server 2012.
Target Audience:
This course is intended for BI professionals with experience of using SQL Server 2008 R2.
Pre-requisites:
Before attending this course, students must have:
Experience of creating database solutions in SQL Server, including basic Transact-SQL programming.
Familiarity with data warehousing and BI solutions, including extract, transform, and load (ETL), data modelling, and reporting.
Module 1: Introduction to SQL Server 2012 for Business Intelligence
This module provides an overview of how SQL Server 2012 can be used to build BI solutions.
Lessons
Overview of SQL Server 2012 for Business Intelligence
SQL Server 2012 for Enterprise Integration Management
SQL Server 2012 for Data Warehousing
SQL Server 2012 for Data Analysis and Reporting
After completing this module, students will be able to:
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.
Module 2: New and Enhanced Features in SQL Server Integration Services
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.
Lessons
Using the CDC Control Task for Incremental Data Loads
Deploying and Operating SSIS Packages
Lab : Using SQL Server Integration Services
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.
Module 3: Data Quality Services
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.
Lessons
Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data
Lab : Cleansing Data
Creating a DQS Knowledge Base
Using a DQS Project to Cleanse Data
Using DQS in an SSIS Package
Lab : Deduplicating Data
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.
Module 4: Master Data Services
This module provides an introduction to master data management with SQL Server 2012 Master Data Services.
Lessons
Introduction to Master Data Services
Implementing a Master Data Services Model
Managing Master Data
Creating a Master Data Hub
Lab : Implementing Master Data Services
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.
Module 5: SQL Server 2012 Reporting Services
This module provides an introduction to new and enhanced features in SQL Server 2012 Reporting Services.
Lessons
Reporting Services Overview
Reporting Services and Microsoft SharePoint Server
Introduction to Data Alerts
Lab : Using SQL Server 2012 Reporting Services
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.
Module 6: Creating Tabular Data Models with PowerPivot
This module provides an introduction to new and enhanced features in PowerPivot.
Lessons
Introduction to Tabular Data Models and PowerPivot Technologies
Using PowerPivot
Using DAX in a PowerPivot Data Model
Lab : Using PowerPivot for Excel
Creating a Tabular Data Model by Using PowerPivot for Excel
Using a Tabular Data Model in Excel
Sharing a PowerPivot Workbook to PowerPivot Gallery
Lab : Creating Calculated Columns and Measures
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.
Module 7: Implementing an Analysis Services Tabular Data Model
This module describes how to create tabular Analysis Services databases.
Lessons
Introduction to Analysis Services Tabular Data Model Projects
Developing an Analysis Services Tabular Data Model
Lab : Working with 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.
Module 8: Creating Data Visualisations with Power View
This module provides an introduction to Power View, and describes how it can be used to create interactive data visualisations.
Lessons
Introduction to Power View
Visualising Data with Power View
Lab : Creating Interactive Reports with Power View
Configuring a Tabular Data Model for Power View
Creating a Simple Power View Report
Using Interactive Visualisations
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 visualisations by using Power View.
Module 9: Using Cloud Technologies in a BI Solution
This module introduces Microsoft cloud technologies that can be used in a BI solution.
Lessons
Overview of Cloud Data Sources
SQL Azure
SQL Azure Reporting Services
The Windows Azure Marketplace DataMarket
Lab : Using Cloud Data in a BI Solution
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: