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MOD+DMOC: Developing SQL Data Models (M20768)

Learn about SQL Server Analysis Services (SSAS) for SQL Server 2016

GK# 5443

Course Overview

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In this course, you will learn about business intelligence (BI) solutions that implement multidimensional databases and create tabular data models and how to create cubes, dimensions, measures, and measure groups. 

This course  incorporates material from the Official Microsoft Learning Product 20768: Developing SQL Data Models and can assist you in preparing for the 70-768: Developing SQL Data Models exam.

Schedule

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  • Delivery Format:
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What You'll Learn

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

Outline

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On-Demand Outline

1. Introduction to Business Intelligence and Data Modeling

  • Introduction to Business Intelligence
  • Microsoft Business Intelligence Platform

2. Create Multidimensional Databases

  • Introduction to Multidimensional Analysis
  • Data Sources and Data Source Views
  • Cubes
  • Overview of Cube Security
  • Configure SSAS
  • Monitoring SSAS

3. Working with Cubes and Dimensions

  • Configure Dimensions
  • Define Attribute Hierarchies
  • Implementing Sort and Group Attributes
  • Sorting and Grouping Dimension Attributes

4. Working with Measures and Measure Groups

  • Working with Measures
  • Working with Measures Groups

5. Introduction to Multidimensional Expressions (MDX)

  • MDX Fundamentals
  • Add Calculations to a Cube
  • Using MDX to Query a Cube

6. Customize Cube Functionality

  • Implement Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations

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

8. Introduction to Data Analysis Expression (DAX)

  • DAX Fundamentals
  • Using DAX to Create Columns and Measures in a Tabular Data Model using DAX

9. Perform Predictive Analysis with Data Mining

  • Overview of Data Mining
  • Creating a Custom Data Mining Solution
  • Validating a Data Mining Model
  • Connecting to and Consuming a Data-Mining Model
  • Using the Data Mining add-on for Excel

Labs

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On-Demand Labs

Lab 1: Explore a a BI Solution

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: Working with an Analysis Services Tabular Data Model

Lab 8: Create Calculated Columns and Measures using DAX

Lab 9: Using Data Mining

Prerequisites

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

Who Should Attend

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  • 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

Vendor Credits

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SATV Redemption

Redeeming your Microsoft Software Assurance Training Vouchers:

  • 3 Day SATV for a Classroom Live session
  • 3 Day SATV for a Virtual Classroom Live session

Follow-On Courses

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Course Delivery

This course is available in the following formats:

On-Demand

Train at your own pace with 24/7 access to courses that help you acquire must-have technology skills.

Duration: 25 hours

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