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Developing SQL Data Models (M20768)




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      This course comes with 12 months access to the following benefits:

      • Practice Labs
      • 24×7 Mentoring
      • Indexed Class Recordings
      • Unlimited Retakes
      • Digital Courseware


      Developing SQL Data Models (M20768) Course Overview:

      In this course, you will learn about business intelligence (BI) solutions that implement multidimensional databases and create tabular semantic data models for analysis using SQL Server Analysis Services (SSAS).

      This course uses Microsoft SQL Server 2016 and incorporates material from the Official Microsoft Learning Product 20768: Developing SQL Data Models.

      Who Should Attend:

      • Data analysts and power information workers
      • Database professionals who fulfill a BI developer role and create enterprise BI solutions and whose primary responsibilities include:
        • Implementing multidimensional databases by using SSAS
        • Creating tabular semantic data models for analysis by using SSAS

      Developing SQL Data Models (M20768) Course Prerequisites:

      Before attending this course, you must have the following:

      Developing SQL Data Models (M20768) Course Objectives:

      After successfully completing this course, you will be able to:

      • 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 database
      • Use DAX to query a tabular model
      • Use data mining for predictive analysis

      Developing SQL Data Models (M20768) Course Outline:

      Module 1: Introduction to Business Intelligence and Data Modeling
      • Introduction to Business Intelligence
      • Microsoft Business Intelligence Platform
      Module 2: Create Multidimensional Databases
      • Introduction to Multidimensional Analysis
      • Create Data Sources and Data Source Views
      • Create a Cube
      • Overview of Cube Security
      Module 3: Cubes and Dimensions
      • Configure Dimensions
      • Define Attribute Hierarchies
      • Sort and Group Attributes
      Module 4: Implement and Configure Measures and Measure Groups
      Module 5: Introduction to Multidimensional Expressions (MDX)
      • MDX Fundamentals
      • Add Calculations to a Cube
      • Use MDX to Query a Cube
      Module 6: Customize Cube Functionality
      • Implement Key Performance Indicators
      • Implement Actions, Perspectives, and Translations
      Module 7: Implement a Tabular Data Model by Using Analysis Services
      • Introduction to Tabular Data Models
      • Create a Tabular Data Model
      • Use an Analysis Services Tabular Model in an Enterprise BI Solution
      Module 8: Introduction to Data Analysis Expression (DAX)
      • DAX Fundamentals
      • Create Columns and Measures in a Tabular Data Model Using DAX
      Module 9: Perform Predictive Analysis with Data Mining
      • Overview of Data Mining
      • Use the Data Mining Add-in for Excel
      • Create a Custom Data Mining Solution
      • Validate, Connect, and Consume a Data Mining Model

      Developing SQL Data Models (M20768) Course Labs:

      • Lab 1: Explore a Data Warehouse
      • Lab 2: Create a Multidimensional Database
      • Lab 3: Work with Cubes and Dimensions
      • Lab 4: Configure Measures and Groups
      • Lab 5: Use MDX
      • Lab 6: Customize a Cube
      • Lab 7: Analysis Services Tabular Data Model
      • Lab 8: Create Calculated Columns and Measures using DAX
      • Lab 9: Perform Predictive Analysis with Data Mining

      Average Salary for Skill: Microsoft SQL Server