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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 semantic data models for analysis using SQL Server Analysis Services (SSAS).

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

GK Digital Learning is also available with digital Microsoft Official Courseware (dMOC). Click here to purchase

Schedule

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What You'll Learn

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  • 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

Introduction to Business Intelligence and Data Modeling

  • Introduction to Business Intelligence
  • Microsoft Business Intelligence Platform

Create Multidimensional Databases

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

Working with Cubes and Dimensions

  • Configure Dimensions
  • Define Attribute Hierarchies
  • Sort and Group Attributes

Working with Measures and Measure Groups

Introduction to Multidimensional Expressions (MDX)

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

Customize Cube Functionality

  • Implement Key Performance Indicators
  • Implement Actions, Perspectives, and Translations

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

Introduction to Data Analysis Expression (DAX)

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

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

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: 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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