Download PDF
of this course

MS40009 - Updating your Business Intelligence Skills to Microsoft® SQL Server® 2012 (MS40009)

  • Overview
  • Who Should Attend
  • Certifications
  • Prerequisites
  • Objectives
  • Content
  • Schedule
Course Overview

Duration : 3 Days

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.

Who Should Attend

  • This course is intended for BI professionals with experience of using SQL Server 2008 R2.

Course Certifications

This course is part of the following Certifications:

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.

Course Objectives

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 Content

Module 1 : Introduction to SQL Server 2012 for Business Intelligence 

This module provides an doverview of how SQL Server 2012 can be used to Build BI solutions

Lessons

  • Overview of SQL Server 2012 Business Intelligence 
  • SQL Server 2012 for Enterprise Integration Management 
  • SQL Server 2012 for Data Warehousing 
  • SQL Server 2012 for Data Analysis 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 supports enterprise information management
  • Describe features of SQL Server 2012 that supports data warehousing
  • Describe features of SQL Server 2012 that can 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 Incremenetal Data Loads
  • Deploying and Operating SSIS Packages

Lab : Using SQL Server Integration Services

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 

  • Introductions to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Match Data

Lab : Cleansing Data

Lab : Deduplicating Data

After completing this module , students will be able to :

  • Describe how Data Quality Seervices 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 my Master Data Services 

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 

  • Report Services Overview
  • Reporting Services and Microsoft SharePoint Server 
  • Introduction to Data Alerts

Lab : Using SQL Server 2012 Reporting Services

After completing this module , students will be able to :

  • Describe tje 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 PowerPivots

Lessons 

  • introduction to Tabuilar Data Models and PowerPivot technologies 
  • Using PowerPivot
  • Using DAX in a PowerPivot Data Model

Lab : Using PowerPivot for Excel 

Lab : Creating Calculated Columns and Measures

After completing this module , students will be able to :

  • Describe the key features and benefits of tabular data models 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

After completing this module , students will be able to :

  • Describe Analysis Services tabular data model projects 
  • Implement an Analysis Services tabular model by UIsing 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 visualiztions

Lessons

  • Introducing To Power View 
  • Visualizing Data with Power View 

Lab : Creating Interactive Reports with Power View

After completing this module , students will be able to :

  • Describe the Power View and its place in the BIO 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 Windoes Azure Marketplace DataMarket.

Lab : Using Cloud Data in a BI solution 

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

Course ID: MS40009


Show Schedule for 1 Month  3 Months  All 
Date Country Location Register