Montreal College of Information Technology
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MCSA SQL 2016 BI Development Certification
State of the Industry

As a business intelligence specialist, you help organizations collect and process the intelligence that helps them stay competitive. This fast-paced course provides IT professionals with the knowledge and skill to provision a Microsoft SQL Server database (on-premise and in Azure) and creates managed BI solutions. This course also covers the implementation of multidimensional and tabular data models along with the creation of cubes, dimensions, measures, and measure groups. After completing the course, professionals are able to implement the logical and physical design of a data warehouse, deploy SSIS projects, implement Azure SQL Data warehouse and dimensions in the cube, as well as perform data mining techniques for predictive analysis. This course prepares professionals for two official Microsoft certifications.

​Class Schedule: Monday, Wednesday and Friday (6PM to 9PM)

Professional Benefits

The average annual salary for a business intelligence specialist is $79,641, with a usual range between 56 and 111K.

Who Should Apply

BI developers
Database professionals
IT professionals

MCSA - SQL 2016 BI Development        
Dwany H

Big Data Developer

MCSA - SQL 2016 BI Development        
Rosana N

Java Developer

MCSA - SQL 2016 BI Development        
Sihame B

BI Developer

MCSA - SQL 2016 BI Development        
Chloe D



Basic knowledge of the Microsoft Windows operating system and its core functionality.
Working knowledge of relational databases.
Some experience with database design.

MCSA – SQL 2016 BI Development

● This module introduces data warehouse concepts, architecture consideration, main hardware considerations for building a data warehouse, and designing and implementing a schema for a data warehouse.

This module focuses on Azure SQL data warehouses and on data and control flow in a SSIS package. This module also covers debug and troubleshoot SSIS packages.

This module focuses on implementing SSIS solutions that support incremental DW loads, on changing data, and on how to implement master data services that enforce data integrity at source.

This modules examines the configuration and deployment of SSIS packages in sample production environments. This includes creating SSIS packages and environments for an SSIS solution.

This module introduces key BI concepts and the Microsoft BI product suite. It also focuses on creating multidimensional databases using SQL Server Analysis Services. It also covers attribute hierarchies, relationship hierarchies and dimension attributes.

This module examines the implementation of dimensions in a cube along with measures and measure groups in a cube.

This modules covers the syntax and usage of MDX. Participants will learn the customization of cube functionality, implementing key performance indicators (KPIs), and using perspectives and translations.

This module overviews the implementation of a tabular data model in Power Pivot and the usage of data mining techniques for performing predictive analysis. Participants learn to calculate columns and measures by using DAX and create a data mining solution.



70-767 - Implementing a Data Warehouse using SQL.

70-768 - Developing SQL Data Models.


  • Taught by Industry Experts as instructors
  • Discount on Certification Program
  • Eligible to claim tax credit up to 25% of course fees
  • 24*7 Lab Virtual Desktop access
  • Evening and Weekend schedule
  • Vendor Authorized Training



The AEC program at MCIT helped me gain a solid understanding of mobile app development modules, algorithms, data structures, JUnit, MVC patterns, and enterprise solutions.

Maria Angela Diaz — Mobile Development Student
  • MCSA - SQL 2016 BI Development        
  • MCSA - SQL 2016 BI Development        
  • MCSA - SQL 2016 BI Development        
  • MCSA - SQL 2016 BI Development        
  • MCSA - SQL 2016 BI Development