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MOC 20466 - Implementing Data Models and Reports with Microsoft SQL Server 2014

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Course duration

  • 5 Days

Course Outline

The focus of this Implementing Data Models and Reports with Microsoft SQL Server 2014 training class 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.

This course is intended for database professionals who need to fulfill a Business Intelligence Developer role to create analysis and reporting solutions. Primary responsibilities include: implementing analytical data models, such as OLAP cubes; implementing reports, and managing report delivery; creating business performance dashboards; supporting data mining and predictive analysis.

  • Learn to describe the components, architecture, and nature of a BI solution.
  • Learn to create a multidimensional database with Analysis Services.
  • Learn to implement dimensions in a cube.
  • Learn to implement measures and measure groups in a cube.
  • Learn to use MDX Syntax.
  • Learn to customize a cube.
  • Learn to implement a Tabular Data Model in SQL Server Analysis Services.
  • Learn to use DAX to enhance a tabular model.
  • Learn to create reports with Reporting Services.
  • Learn to enhance reports with charts and parameters.
  • Learn to manage report execution and delivery.
  • Learn to implement a dashboard in SharePoint Server with PerformancePoint Services.
  • Learn to use Data Mining for Predictive Analysis.
  • Knowledge of writing T-SQL queries.
  • Knowledge of basic relational database concepts.
  1. Introduction to Business Intelligence and Data Modeling
    1. Elements of an Enterprise BI Solution
    2. The Microsoft Enterprise BI Platform
    3. Planning an Enterprise BI Project
    4. Lab: Exploring a BI Solution
      1. Exploring the Data Warehouse
      2. Exploring the Analysis Services Data Model
      3. Exploring Reports
  2. Creating Multidimensional Databases
    1. Introduction to Multidimensional Analysis
    2. Creating Data Sources and Data Source Views
    3. Creating a Cube
    4. Overview of Cube Security
    5. Lab: Creating a Multidimensional Database
      1. Creating a Data Source
      2. Creating and Modifying a Data Source View
      3. Creating and Modifying a Cube
      4. Adding a Dimension
  3. Working with Cubes and Dimensions
    1. Configuring Dimensions
    2. Defining Attribute Hierarchies
    3. Sorting and Grouping Hierarchies
    4. Lab: Defining Dimensions
      1. Configuring Dimensions and Attributes
      2. Creating Hierarchies
      3. Creating a Hierarchy with Attribute Relationships
      4. Creating a Ragged Hierarchy
      5. Browsing Dimensions and Hierarchies in a Cube
  4. Working with Measures and Measure Groups
    1. Working with Measures
    2. Working with Measure Groups
    3. Lab: Configuring Measures and Measure Groups
      1. Configuring Measures
      2. Defining a Regular Relationship
      3. Configuring Measure Group Storage
  5. Introduction to MDX
    1. MDX Fundamentals
    2. Adding Calculations to a Cube
    3. Using MDX to Query a Cube
    4. Lab: Using MDX
      1. Creating Calculated Members
      2. Querying a Cube by Using MDX
  6. Enhancing a Cube
    1. Working with Key Performance Indicators
    2. Working with Actions
    3. Working with Perspectives
    4. Working with Translations
    5. Lab: Customizing a Cube
      1. Implementing an Action
      2. Implementing Perspectives
      3. Implementing a Translation
  7. Implementing an Analysis Services Tabular Data Model
    1. Introduction to Analysis Services Tabular Data Models
    2. Creating a Tabular Data Model
    3. Using an Analysis Services Tabular Data Model in the Enterprise
    4. Lab: Implementing an Analysis Services Tabular Data Model
      1. Creating an Analysis Services Tabular Data Model Project
      2. Configuring Columns and Relationships
      3. Deploying an Analysis Services Tabular Data Model
  8. Introduction to DAX
    1. DAX Fundamentals
    2. Enhancing a Tabular Data Model with DAX
    3. Lab: Using DAX to Enhance a Tabular Data Model
      1. Creating Calculated Columns
      2. Creating Measures
      3. Creating a KPI
      4. Implementing a Parent-Child Hierarchy
  9. Implementing Reports with SQL Server Reporting Services
    1. Introduction to Reporting Services
    2. Creating a Report with Report Designer
    3. Grouping and Aggregating Data in a Report
    4. Publishing and Viewing a Report
    5. Lab: Creating a Report with Report Designer
      1. Creating a Report
      2. Grouping and Aggregating Data
      3. Publishing a Report
  10. Enhancing Reports with SQL Server Reporting Services
    1. Showing Data Graphically
    2. Filtering Reports by Using Parameters
    3. Lab: Enhancing a Report
      1. Adding a Chart to a Report
      2. Adding Parameters to a Report
      3. Using Data Bars and Sparklines
      4. Using a Map
  11. Managing Report Execution and Delivery
    1. Managing Report Security
    2. Managing Report Execution
    3. Subscriptions and Data Alerts
    4. Troubleshooting Reporting Services
    5. Lab: Configuring Report Execution and Delivery
      1. Configuring Report Execution
      2. Implementing a Standard Subscription
      3. Implementing a Data-Driven Subscription
  12. Delivering BI with SharePoint PerformancePoint Services
    1. Introduction to SharePoint Server as a BI Platform
    2. Introduction to PerformancePoint Services
    3. PerformancePoint Data Sources and Time Intelligence
    4. Reports, Scorecards, and Dashboards
    5. Lab: Implementing a SharePoint Server BI Solution
      1. Creating a SharePoint Server Site for BI
      2. Configuring PerformancePoint Data Access
      3. Creating PerformancePoint Reports
      4. Creating a PerformancePoint Scorecard
      5. Creating a PerformancePoint Dashboard
  13. Performing Predictive Analysis with Data Mining
    1. Overview of Data Mining
    2. Creating a Data Mining Solution
    3. Validating a Data Mining Model
    4. Consuming Data Mining Data
    5. Lab: Using Data Mining to Support a Marketing Campaign
      1. Using Table Analysis Tools
      2. Creating a Data Mining Structure
      3. Adding a Data Mining Model to a Data Mining Structure
      4. Validating a Data Mining Model
      5. Using a Data Mining Model in a Report

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InterSource offers custom, private courses at client sites, standard public courses in our Geneva classroom, and online training via live Web conference. Training is offered in English and many other languages (Francais, Deutsch, Espanol, Italiano.)

For an overall view of our offerings, please visit us at www.intersource.ch.