20768 : Developing SQL Data Models

20767 : Implementing a SQL Data Warehouse
10987 : Performance Tuning and Optimizing SQL Databases

20768 : Developing SQL Data Models

The focus of this 3-day instructor-led 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.


The duration of the program :

Instructor Led : 24 h

Live Online
Instructor Led  : 24 h



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

Module 1: Introduction to Business Intelligence and Data Modeling

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

·      Data Sources and Data Source Views

·      Cubes

·      Overview of Cube Security

·      Configure SSAS

·      Monitoring SSAS


Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.


·      Configuring Dimensions

·      Defining Attribute Hierarchies

·      Implementing 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.


·      Implementing Key Performance Indicators

·      Implementing Actions

·      Implementing Perspectives

·      Implementing 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

MCSA: SQL 2016 BI Development

This certification validates your extract, transform, and load (ETL) and data warehouse skills, along with those for implementing BI solutions using multidimensional and tabular data models and online analytical processing (OLAP) cubes. Earning an MCSA: SQL 2016 Business Intelligence Development certification qualifies you for a position as a BI developer.

Required Exams : 70-767 & 70-768

This certification retires on January 31, 2021. You will no longer be able to earn this certification after this date. 

Before attending this course, students must have:

·         Experience of querying data using Transact-SQL

Τόπος Ημερομηνίες Ωράριο Μέθοδος
Live Online*
Instructor Led

* Σύγχρονη εξ αποστάσεως εκπαίδευση με εισηγητή – Virtual Class

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    Last update : 20/2/2018 (20768C)