Developing SQL Data Models (M20768)

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Overview

Audience & Prerequisites

Course Outline

Schedule & Fees

Certification

M20768 – Developing SQL Data Models

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 x 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

Objectives

  • 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

Intended Audience

  • 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

Prerequisites

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

Course Outline                                   Duration: 5 Days

1. Introduction to Business Intelligence and Data Modeling

  • Introduction to Business Intelligence
  • Microsoft Business Intelligence Platform

2. 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

3. Working with Cubes and Dimensions

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

4. Working with Measures and Measure Groups

5. Introduction to Multidimensional Expressions (MDX)

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

6. Customize Cube Functionality

  • Implement Key Performance Indicators
  • Implement Actions, Perspectives, and 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
  • Create Columns and Measures in a Tabular Data Model Using DAX

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

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