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Niche
SQL Server 2012

Designing Business Intelligence Solutions with Microsoft SQL Server 2012
(Microsoft Training Course: 20467) - 5 days - £1850 exc VAT

 May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr 
Birmingham Centre     05        
Leeds (City Exchange) Centre   03          
London (Tabernacle St) Centre EC2   10  12  14      
Manchester (Portland St) Centre      02    21   


> Target Audience
This course teaches students how to design and implement a BI infrastructure. It is intended for BI professionals such as BI Architects or database professionals who need to design BI solutions.
> Course outline
  1. Planning a BI Solution
  2. Planning a BI Infrastructure
  3. Design a Data Warehouse
  4. Designing an ETL Solution
  5. Designing Analytical Data Models
  6. Planning a BI Delivery Solution
  7. Designing a Reporting Services Solution
  8. Designing an Excel-Based Reporting Solution
  9. Planning a SharePoint Server BI Solution
  10. Monitoring and Optimizing a BI Solution
  11. Planning BI Operations


Module 1: Planning a BI Solution
  • Elements of a BI Solution
  • Planning a BI Project
  • The Microsoft BI Platform
  • Lab: Planning a BI Solution
  • Exercise 1: Scoping a BI Solution.
  • Exercise 2: Reviewing a Suggested Solution
Skills
  • Describe elements of a BI Solution
  • Describe considerations for a BI project
  • Describe how Microsoft products can be used to implement a BI solution
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Module 2: Planning a BI Infrastructure
  • Planning a Data Warehouse Infrastructure
  • Planning an ETL Infrastructure
  • Planning Analysis Services Infrastructure
  • Planning Reporting Services Infrastructure
  • Lab : Planning a BI Infrastructure
  • Exercise 1: Determining Required Servers
  • Exercise 2: Determining Data Warehouse Server Hardware Requirements
  • Exercise 3: Reviewing a Suggested Solution
Skills
  • Plan a data warehouse infrastructure
  • Plan an ETL infrastructure
  • Plan Analysis Services infrastructure
  • Plan Reporting Services infrastructure
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Module 3: Design a Data Warehouse
  • Designing a Logical Schema
  • Designing a Physical Schema
  • Lab : Designing a Data Warehouse Logical Schema
  • Exercise 1: Identifying Required Dimensions
  • Exercise 2: Identifying Measures and Hierarchies
  • Exercise 3: Designing a Data Warehouse Schema
  • Exercise 4: Reviewing a Suggested Solution
  • Lab : Designing a Data Warehouse Physical Schema
  • Exercise 1: Planning Database Storage
  • Exercise 2: Designing Partitioning
  • Exercise 3: Designing Indexes
  • Exercise 4: Reviewing a Suggested Solution
Skills
  • Select a data modeling approach
  • Design a physical data warehouse schema
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Module 4: Designing an ETL Solution
  • Planning for Data Extraction
  • Planning for Data Transformation
  • Planning for Data Loading
  • Planning for SSIS Package Deployment
  • Lab: Designing an ETL Solution
  • Exercise 1: Reviewing Data Sources
  • Exercise 2: Creating Source-to-Target Maps
  • Exercise 3: Planning ETL Processes
  • Exercise 4: Reviewing a Suggested Solution
Skills
  • Plan data extraction in an ETL solution
  • Plan data transformation in an ETL solution
  • Plan data loading in an ETL solution
  • Plan SSIS package deployment
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Module 5: Designing Analytical Data Models
  • Options for Analytical Models
  • Data Model Design Considerations
  • Lab : Comparing Analytical Data Models
  • Exercise 1: Creating a Multidimensional Model
  • Exercise 2: Creating a Tabular Model
  • Lab : Designing Data Models
  • Exercise 1: Designing Dimension Attributes
  • Exercise 2: Designing Data Model Aggregations and Storage
  • Exercise 3: Reviewing a Suggested Solution
Skills
  • Describe options for analytical models
  • Describe considerations for cube design
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Module 6: Planning a BI Delivery Solution
  • Considerations for BI Delivery
  • Choosing a Delivery Approach
  • Lab : Planning a BI Delivery Solution
  • Exercise 1: Assessing Reporting Requirements
Skills
  • Describe considerations for planning a BI delivery solution
  • Choose an appropriate technique for a given scenario
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Module 7: Designing a Reporting Services Solution
  • Designing Reports
  • Considerations for Report Execution
  • Planning a Reporting Solution
  • Lab : Designing a Reporting Services Solution
  • Exercise 1: Planning a Reporting Services Solution
  • Exercise 2: Planning a Report Delivery Environment
  • Exercise 3: Configuring Report Execution
Skills
  • Plan a reporting solution
  • Describe considerations for report data
  • Describe considerations for report execution
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Module 8: Designing an Excel-Based Reporting Solution
  • Using Excel for Data Reporting and Analysis
  • PowerPivot in Excel
  • Power View in Excel
  • Lab: Designing an Excel Reporting Solution
  • Exercise 1: Planning Excel Features
  • Exercise 2: Analyzing a Cube with Excel
  • Exercise 3: Using PowerPivot
  • Exercise 4: Using Power View
Skills
  • Use Excel to analyze data
  • Use PowerPivot to analyze data
  • Use Power View to analyze data
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Module 9: Planning a SharePoint Server BI Solution
  • Introduction to SharePoint Server as a BI Platform
  • Planning Security for a SharePoint Server BI Solution
  • Planning Reporting Services Configuration
  • Planning PowerPivot Configuration
  • Planning for PerformancePoint Services
  • Lab : Planning a SharePoint Server BI Solution
  • Exercise 1: Planning SharePoint Server Security
  • Exercise 2: Configuring Reporting Services in SharePoint Server
  • Exercise 3: Managing PowerPivot Data Refresh
  • Exercise 4: Reviewing PowerPivot Activity
  • Exercise 5 (Optional) Creating a PerformancePoint Dashboard
Skills
  • Describe key considerations for using SharePoint for BI
  • Describe key considerations for security when using SharePoint for BI
  • Plan the deployment and configuration of Reporting Services in SharePoint Integration Mode
  • Plan the deployment and configuration of PowerPivot
  • Plan PerformancePoint Services in a SharePoint site
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Module 10: Monitoring and Optimizing a BI Solution
  • Overview of BI Monitoring
  • Monitoring and Optimizing the Data Warehouse
  • Monitoring and Optimizing Analysis Services
  • Monitoring and Optimizing Reporting Services
  • Lab : Monitoring and Optimizing a BI Solution
  • Exercise 1: Monitoring and Optimizing a Data Warehouse
  • Exercise 2: Troubleshooting Analysis Services Queries
  • Exercise 3: Monitoring and Optimizing Reporting Services
Skills
  • Plan BI monitoring
  • Plan data warehouse monitoring and optimization
  • Plan Analysis Services monitoring and optimization
  • Plan Reporting Services monitoring and optimization
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Module 11: Planning BI Operations
  • Overview of BI Operations
  • Automating ETL Tasks
  • Post ETL Tasks
  • Planning a Backup Strategy for a BI Solution
  • Lab : Planning BI Operations
  • Exercise 1: Planning ETL and Processing Tasks
  • Exercise 2: Planning a Backup Strategy
Skills
  • Plan BI operations
  • Plan ETL operations
  • Plan post-ETL tasks
  • Plan backup for a BI solution
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> Pre-Requisites
Before attending this course, students must have the following pre-requisites:
  • A basic understanding of dimensional modeling (star schema) for data warehouses.
  • The ability to create Integration Services packages that include control flows and data flows.
  • The ability to create a basic multidimensional cube with Analysis Services.
  • The ability to create a basic tabular model with PowerPivot and Analysis Services.
  • The ability to create Reporting Services reports with Report Designer.
  • The ability to implement authentication and permissions in the SQL Server database engine, Analysis Services, and Reporting Services.
  • Familiarity with SharePoint Server and Microsoft Office applications, particularly Excel.
  • Students can meet the prerequisites by attending the following courses:
  • 10777; 10778
> Purpose
After completing this course, students will be able to plan the components of a BI solution; plan a BI infrastructure; design a data warehouse; design an ETL solution; plan analytical data models; plan a BI delivery solution; design a Reporting Services solution; design an Excel reporting solution; plan a SharePoint Server BI solution; monitor and optimize a BI solution; plan for BI operations.