Course Description
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.
This course is intended for BI professionals with experience of using SQL Server 2008 R2.
Prerequisites
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 modeling, and reporting At Course Completion
After completing this course, students will be able to:
Describe key new and enhanced features for BI in SQL Server 2012. Use new and enhanced features in SQL Server Integration Services. Manage data quality by using SQL Server Data Quality Services. Manage master data by using new and enhanced features of SQL Server Master Data Services. Use new and enhanced features of SQL Server Reporting Services. Create tabular data models with PowerPivot and DAX. Implement a tabular data model in SQL Server Analysis Services. Use Power View to create interactive data visualizations. Integrate Microsoft cloud technologies into a BI solution. Course Outline
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 Visualizations with Power View
This module provides an introduction to Power View, and describes how it can be used to create interactive data visualizations.
Lessons
Introduction to Power View Visualizing 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 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. 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:
Describe cloud data scenarios. Use SQL Azure. Use SQL Azure Reporting Services. Use the Windows Azure Marketplace DataMarket.