Niche
SQL Server 2014 and 2012

Implementing Data Models and Reports with Microsoft SQL Server
(Microsoft Training Course: 20466) - 5 days - £1850 exc VAT

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 Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun 
Birmingham Centre    23    14     
Extended Classroom27  14 26 09
30
        
Leeds (City Exchange) Centre13             
London International House Centre E1W27  14 26 09
30
        
London Middlesex Street Centre E1 17            
Manchester (Portland St) Centre   19    01    13  


> Target Audience
The focus of this course is on creating managed enterprise BI solutions. It describes how to implement multidimensional and tabular data models, deliver reports with Microsoft SQL Server Reporting Services, create dashboards with Microsoft SharePoint Server PerformancePoint Services, and discover business insights by using data mining. It is intended for database professionals who need to fulfil a Business Intelligence Developer role to create analysis and reporting solutions.
> Course outline
  1. Introduction to Business Intelligence and Data Modeling
  2. Creating Multidimensional Databases
  3. Working with Cubes and Dimensions
  4. Working with Measures and Measure Groups
  5. Introduction to MDX
  6. Enhancing a Cube
  7. Implementing and Analysis Services Tabular Data Model
  8. Introduction to DAX
  9. Implementing Reports with SQL Server Reporting Services
  10. Enhancing Reports with SQL Server Reporting Services
  11. Managing Report Execution and Delivery
  12. Delivering BI with SharePoint PerformancePoint Services
  13. Performing Predictive Analysis with Data Mining

Supplementary InformationSubject to demand, training course MS20466 (SQL Server 2014) may be merged with MS10778 (SQL Server 2012), as recommended by Microsoft.
Module 1: Introduction to Business Intelligence and Data Modeling
  • Elements of an Enterprise BI Solution
  • The Microsoft Enterprise BI Platform
  • Planning an Enterprise BI Project
  • Lab: Exploring a BI Solution
  • Exploring the Data Warehouse
  • Exploring the Analysis Services Data Model
  • Exploring Reports
Skills
  • Describe the elements of a typical BI solution
  • Select appropriate Microsoft technologies for a BI solution
  • Describe key considerations for planning a BI project
top
Module 2: Creating Multidimensional Databases
  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security
  • Lab: Creating a Multidimensional Database
  • Creating a Data Source
  • Creating and Modifying a Data Source View
  • Creating and Modifying a Cube
  • Adding a Dimension
Skills
  • Describe the considerations for a multidimensional database
  • Create data sources and data source views
  • Create a cube
  • Implement security in a multidimensional database
top
Module 3: Working with Cubes and Dimensions
  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Hierarchies
  • Lab: Defining Dimensions
  • Configuring Dimensions and Attributes
  • Creating Hierarchies
  • Creating a Hierarchy with Attribute Relationships
  • Creating a Ragged Hierarchy
  • Browsing Dimensions and Hierarchies in a Cube
Skills
  • Configure dimensions
  • Define attribute hierarchies
  • Sort and group attributes
top
Module 4: Working with Measures and Measure Groups
  • Working with Measures
  • Working with Measure Groups
  • Lab: Configuring Measures and Measure Groups
  • Configuring Measures
  • Defining a Regular Relationship
  • Configuring Measure Group Storage
Skills
  • Configure measures
  • Configure measure groups
top
Module 5: Introduction to MDX
  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube
  • Lab: Using MDX
  • Creating Calculated Members
  • Querying a Cube by Using MDX
Skills
  • Describe MDX
  • Add calculations to a cube
  • Describe how to use MDX in client apps
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Module 6: Enhancing a Cube
  • Working with Key Performance Indicators
  • Working with Actions, Perspectives and Translations
  • Lab: Customizing a Cube
  • Implementing an Action
  • Implementing Perspectives
  • Implementing a Translation
Skills
  • Implement Key Performance Indicators
  • Implement Actions
  • Implement Perspectives
  • Implement Translations
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Module 7: Implementing and Analysis Services Tabular Data Model
  • Introduction to Analysis Services Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in the Enterprise
  • Lab: Implementing an Analysis Services Tabular Data Model
  • Creating an Analysis Services Tabular Data Model Project
  • Configuring Columns and Relationships
  • Deploying an Analysis Services Tabular Data Model
Skills
  • Describe Analysis Services tabular data model projects
  • Implement an Analysis Services tabular data model
  • Use an Analysis Services tabular data model
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Module 8: Introduction to DAX
  • DAX Fundamentals
  • Enhancing a Tabular Data Model with DAX
  • Lab: Using DAX to Enhance a Tabular Data Model
  • Creating Calculated Columns
  • Creating Measures
  • Creating a KPI
  • Implementing a Parent-Child Hierarchy
Skills
  • Describe the fundamentals of DAX
  • Use DAX to create calculated columns and measures
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Module 9: Implementing Reports with SQL Server Reporting Services
  • Introduction to Reporting Services
  • Creating a Report with Report Designer
  • Grouping and Aggregating Data in a Report
  • Publishing and Viewing a Report
  • Lab: Creating a Report with Report Designer
  • Creating a Report
  • Grouping and Aggregating Data
  • Publishing a Report
Skills
  • Describe the key features of Reporting Services
  • Use Report Designer to create a report
  • Group and aggregate data in a report
  • Publish and view a report
top
Module 10: Enhancing Reports with SQL Server Reporting Services
  • Showing Data Graphically
  • Filtering Reports by Using Parameters
  • Lab: Enhancing a Report
  • Adding a Chart to a Report
  • Adding Parameters to a Report
  • Using Data Bars and Sparklines
  • Using a Map
Skills
  • Use charts and other visualizations to show data graphically in a report
  • Use parameters to filter data in a report
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Module 11: Managing Report Execution and Delivery
  • Managing Report Security
  • Managing Report Execution
  • Subscriptions and Data Alerts
  • Troubleshooting Reporting Services
  • Lab: Configuring Report Execution and Delivery
  • Configuring Report Execution
  • Implementing a Standard Subscription
  • Implementing a Data-Driven Subscription
Skills
  • Configure security settings for a report server
  • Configure report execution settings to optimize performance
  • Use subscriptions and alerts to automate report and data delivery
  • Troubleshoot reporting issues
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Module 12: Delivering BI with SharePoint PerformancePoint Services
  • Introduction to SharePoint Server as a BI Platform
  • Introduction to PerformancePoint Services
  • PerformancePoint Data Sources and Time Intelligence
  • Reports, Scorecards, and Dashboards
  • Lab: Implementing a SharePoint Server BI Solution
  • Creating a SharePoint Server Site for BI
  • Configuring PerformancePoint Data Access
  • Creating PerformancePoint Reports
  • Creating a PerformancePoint Scorecard
  • Creating a PerformancePoint Dashboard
Skills
  • Describe SharePoint Server as a BI platform
  • Use PerformancePoint Services to deliver BI functionality
  • Configure PerformancePoint Data Sources
  • Create Reports, Scorecards, and Dashboards
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Module 13: Performing Predictive Analysis with Data Mining
  • Overview of Data Mining
  • Creating a Data Mining Solution
  • Validating a Data Mining Model
  • Consuming Data Mining Data
  • Lab: Using Data Mining to Support a Marketing Campaign
  • Using Table Analysis Tools
  • Creating a Data Mining Structure
  • Adding a Data Mining Model to a Data Mining Structure
  • Validating a Data Mining Model
  • Using a Data Mining Model in a Report
Skills
  • Describe the key data mining concepts and use the Data Mining Add-ins for Excel
  • Create a data mining solution
  • Validate data mining models
  • Use data mining data in a report
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> Pre-Requisites
Before attending this course, students must have the following pre-requisites:
  • At least 2 years’ experience of working with relational databases, including:
  • Designing a normalized database.
  • Creating tables and relationships.
  • Querying with Transact-SQL.
  • Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
  • Some exposure to basic programming constructs (such as looping and branching).
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
> Purpose
After completing this course, students will be able to describe the components, architecture, and nature of a BI solution; create a multidimensional database with Analysis Services; implement dimensions in a cube; implement measures and measure groups in a cube; use MDX Syntax; customize a cube; implement a Tabular Data Model in SQL Server Analysis Services; use DAX to enhance a tabular model; create reports with Reporting Services; enhance reports with charts and parameters; manage report execution and delivery; implement a dashboard in SharePoint Server with PerformancePoint Services; use Data Mining for Predictive Analysis.
> Supplementary Information
Subject to demand, training course MS20466 (SQL Server 2014) may be merged with MS10778 (SQL Server 2012), as recommended by Microsoft.