MOC 20768 - Developing SQL Data Models

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Course duration

Course Benefits

  • 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 database.
  • Learn to use DAX to query a tabular model.
  • Learn to use data mining for predictive analysis.
Microsoft Certified Partner

Webucator is a Microsoft Certified Partner for Learning Solutions (CPLS). This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).

Course Outline

  1. Introduction to Business Intelligence and Data Modeling
    1. Introduction to Business Intelligence
    2. The Microsoft business intelligence platform
    3. Lab: Exploring a Data Warehouse
  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. Define attribute hierarchies
    3. Sorting and grouping attributes
    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 a Tabular Data Model by Using Analysis Services
    1. Introduction to tabular data models
    2. Creating a tabular data model
    3. Using an analysis services tabular model in an enterprise BI solution
    4. Lab: Working with 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. 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 a data mining model
    6. Lab: Perform Predictive Analysis with Data Mining

Class Materials

Each student will receive 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:

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of Transact-SQL.
  • Working knowledge of relational databases. .
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