Training

Basic knowledge of the Microsoft Windows operating system and its core functionality Working knowledge of Transact-SQL Working knowledge of relational databases Querying Data with Transact-SQL (M20761) Implementing a SQL Data Warehouse (M20767) Related Ce

Description: 

Prerequisites

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

Related Certifications

Course Brief

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.

 Course 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
  • Create Data Sources and Data Source Views
  • Create a Cube
  • Overview of Cube Security

3. Cubes and Dimensions

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

4. Implement and Configure 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

 

Training Type: 
Microsoft

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