Course 20768: Developing SQL Data Models

Duration: 90-days online access
ILT Classroom: 3 days
Audience: Developers
Certification: MCSA: SQL 2016 BI Development
Exam: 70-768
Level: 200

Available as from Oct 2017

Overview

About this course

The focus of this course is on creating managed enterprise BI solutions. It describes how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups. This course helps you prepare for the Exam 70-768.

Audience profile

The primary audience for this course are database professionals who need to fulfil BI Developer role to create enterprise BI solutions. 

Primary responsibilities will  include:

• Implementing multidimensional databases by using SQL Server Analysis Services
• Creating tabular semantic data models for analysis by using SQL Server Analysis Services.

At course completion

After completing this course, students will be able to:

• Use data mining for predictive analysis
• Use DAX to query a tabular model
• Implement a tabular database
• Customize a cube
• Use MDX syntax
• Implement measures and measure groups in a cube
• Implement dimensions in a cube
• Create a multidimensional database with Analysis Services
• Describe the components, architecture, and nature of a BI solution

Pre-requisites

Before attending this course, students must have:

• Experience of querying data using Transact-SQL

Course Outline

• Module 1: Introduction to Business Intelligence and Data Modelling
  This module introduces key BI concepts and the Microsoft BI product suite.
  - Introduction to Business Intelligence
  - The Microsoft business intelligence platform
  
• Module 2: Creating Multidimensional Databases
  This module describes how to create multidimensional databases using SQL Server Analysis Services.
  - Introduction to Multidimensional Analysis.
  - Creating Data Sources and Data Source Views
  - Creating a Cube
  - Overview of Cube Security
  - Configure and monitor SSAS
  
• Module 3: Working with Cubes and Dimensions
  This module describes how to implement dimensions in a cube.
  - Configuring Dimensions
  - Defining Attribute Hierarchies
  - Sorting and Grouping Attributes
  - Slowly Changing Dimensions
  
• Module 4: Working with Measures and Measure Groups
  This module describes how to implement measures and measure groups in a cube.
  - Working with Measures
  - Working with Measure Groups
  
• Module 5: Introduction to MDX
  This module describes the MDX syntax and how to use MDX.
  - MDX fundamentals
  - Adding Calculations to a Cube
  - Using MDX to Query a Cube
  
• Module 6: Customizing Cube Functionality
  This module describes how to customize a cube.
  - Introduction to Business Intelligence
  - The Implementing Key Performance Indicators
  - Implementing Actions, Perspectives & Translations
  
• Module 7: Implementing a Tabular Data Model by Using Analysis Services
  This module describes how to implement a tabular data model in Power Pivot.
  - Introduction to Tabular Data Models
  - Creating a Tabular Data Model
  - Using an Analysis Services Tabular Data Model in an Enterprise BI Solution
  
• Module 8: Introduction to Data Analysis Expression (DAX)
  This module describes how to use DAX to create measures and calculated columns in a tabular data model.
  - DAX fundamentals
  - Using DAX to Create Calculated Columns and Measures in a Tabular Data Model
  
• Module 9: Performing Predictive Analysis with Data Mining
  This module describes how to use data mining for predictive analysis.
  - 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-in for Excel

Purchase availability: Aug 2017