Niche
SQL Server 2012

Updating your Business Intelligence Skills to Microsoft SQL Server 2012
(Microsoft Training Course: 40009) - 3 days - £1250 exc VAT

 May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr 
London Middlesex Street Centre E1  29    18       


> Target Audience
This 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. It is intended for BI professionals with experience of using SQL Server 2008 R2.
> Course outline
  1. Introduction to SQL Server 2012 for Business Intelligence
  2. New and Enhanced Features in SQL Server Integration Services
  3. Data Quality Services
  4. Master Data Services
  5. SQL Server 2012 Reporting Services
  6. Creating Tabular Data Models with PowerPivot
  7. Implementing an Analysis Services Tabular Data Model
  8. Creating Data Visualizations with Power View
  9. Using Cloud Technologies in a BI Solution


Module 1: Introduction to SQL Server 2012 for Business Intelligence
  • 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
Skills
  • 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
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Module 2: New and Enhanced Features in SQL Server Integration Services
  • 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
Skills
  • Use the CDC Control task to perform incremental data extractions in an ETL solution
  • Deploy and operate an SSIS project
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Module 3: Data Quality Services
  • 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
Skills
  • 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
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Module 4: Master Data Services
  • 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
Skills
  • 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
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Module 5: SQL Server 2012 Reporting Services
  • 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
Skills
  • 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
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Module 6: Creating Tabular Data Models with PowerPivot
  • 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
Skills
  • Describe the key features and benefits of tabular data models and PowerPivot technologies
  • Create a PowerPivot
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Module 7: Implementing an Analysis Services Tabular Data Model
  • 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
Skills
  • Describe Analysis Services tabular data model projects
  • Implement an Analysis Services tabular data model by Using SQL Server Data Tools
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Module 8: Creating Data Visualizations with Power View
  • 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
Skills
  • Describe the Power View and its place in the BI ecosystem
  • Create data visualizations by using Power View
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Module 9: Using Cloud Technologies in a BI Solution
  • 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
Skills
  • Describe cloud data scenarios
  • Use SQL Azure
  • Use SQL Azure Reporting Services
  • Use the Windows Azure Marketplace DataMarket
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> Pre-Requisites
Before attending this course, students must have the following pre-requisites:
  • 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.
> Purpose
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.