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

5 Days

This Implementing Data Models and Reports with Microsoft SQL Server 2014 training class teaches students how to design and implement a BI infrastructure for enterprise data models and reports. The course covers design, installation, and operations of a BI platform, including Microsoft SQL Server Analysis Services, SQL Server Reporting Services, and Microsoft SharePoint Server.

Students in this course learn 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 create analysis and reporting solutions.

Goals
  1. Learn to describe the components, architecture, and nature of a BI solution.
  2. Learn to create a multidimensional database with Analysis Services.
  3. Learn to implement dimensions in a cube.
  4. Learn to implement measures and measure groups in a cube.
  5. Learn to use MDX Syntax.
  6. Learn to customize a cube.
  7. Learn to implement a Tabular Data Model in SQL Server Analysis Services.
  8. Learn to use DAX to enhance a tabular model.
  9. Learn to create reports with Reporting Services.
  10. Learn to enhance reports with charts and parameters.
  11. Learn to manage report execution and delivery.
  12. Learn to implement a dashboard in SharePoint Server with PerformancePoint Services.
  13. Learn to use Data Mining for Predictive Analysis.
Outline
  1. Introduction to Business Intelligence and Data Modeling
    1. Introduction to Business Intelligence
    2. The Microsoft Enterprise BI Platform
    3. Lab: Exploring a BI Solution
  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
  3. Working with Cubes and Dimensions
    1. Configuring Dimensions
    2. Defining Attribute Hierarchies
    3. Sorting and Grouping Hierarchies
    4. Lab: Working with Cubes and Dimensions
  4. Working with Measures and Measure Groups
    1. Working with Measures
    2. Working with Measure Groups
    3. Lab: Configuring Measures and Measure Groups
  5. Introduction to MDX
    1. MDX Fundamentals
    2. Adding Calculations to a Cube
    3. Using MDX to Query a Cube
    4. Lab: Using MDX
  6. Customizing Cube Functionality
    1. Implementing Key Performance Indicators
    2. Implementing Actions
    3. Implementing Perspectives
    4. Implementing Translations
    5. Lab: Customizing a Cube
  7. Implementing an Analysis Services Tabular Data Model
    1. Introduction to Tabular Data Models
    2. Creating a Tabular Data Model
    3. Using an Analysis Services Tabular Data Model in an Enterprise BI Solution
    4. Lab: Implementing an Analysis Services Tabular Data Model
  8. Introduction to Data Analysis Expression (DAX)
    1. DAX Fundamentals
    2. Using DAX to Create calculated Columns and Measures in a Tabular Data Model
    3. Lab: Creating Calculated Columns and Measures by using DAX
  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. Showing Data Graphically
    5. Filtering Reports Using Parameters
    6. Lab: Creating a Report with Report Designer
  10. Automating Report Execution and Delivery
    1. Managing Report Security
    2. Managing Report Execution
    3. Delivering Reports with Subscriptions and Data Alerts
    4. Troubleshooting Reporting Services
    5. Lab: Implementing Report Subscriptions
  11. Delivering BI with SharePoint PerformancePoint Services
    1. Introduction to SharePoint Server as a BI Platform
    2. Planning Security for a SharePoint Server BI Solution
    3. Planning for PerformancePoint Services
    4. Lab: Implementing PerformancePoint Services
  12. Performing Predictive Analysis with Data Mining
    1. Overview of Data Mining
    2. Using the Data Mining Add-in for Excel
    3. Creating a Custom Data Mining Solution
    4. Validating a Data Mining Model
    5. Connecting to and Consuming Data Mining Data
    6. Lab: Using Data Mining to Support a Marketing Campaign
Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this SQL Server class:

  • Knowledge of writing T-SQL queries.
  • Knowledge of basic relational database concepts.