What we're about


MSDEVMTL regroupe les groupes de développeurs Microsoft de Montréal et s'étend sur 5 sujets soit:

• Développement d'application

• Microsoft Azure

• Data Plateforme

• DevOps

Tout savoir sur MSDEVMTL en consultant la présentation d'informations sur SlideShare:


• Offres d'emploi (http://jobs.msdevmtl.com/)

Upcoming events (2)

Un tour d’horizon de Azure DevOps en 2021

Online event


Venez me voir et on vas faire un tour d’horizon de Azure DevOps en 2021, un projet, des equipes, les repos git, une pull request, des policy sur vos branches, des builds et des releases en yaml dans azure. On utiliseras aussi le Azure DevOps demo generator pour ce faire un projet de base (mais vous pouvez l’utiliser pour faire des templates de projet) en bonus!!!

Speaker: Etienne Tremblay

I am the president of Tegaaa Solutions a DevOps consulting firm. I have over 30 years of experience in the IT industry. Since 2000, I've specialized in Microsoft technologies, specifically in DevOps and Azure. I've been a Microsoft MVP for TFS and Azure DevOps since 2006. I've also been a regular speaker at local technical conferences and user groups since 2005.

Lien de la présentation: https://www.youtube.com/watch?v=bQfxOQH-T5Q

Transitioning your T-SQL skills to Spark SQL

Online event

*** La session sera en anglais*** *** Session will be in English ***

In light of COVID-19, **** this event will be Online ***


This presentation is a crash course covering the basics of Spark SQL for the Microsoft T-SQL Server developer.

Azure Databricks is a managed service which provides the latest versions of Apache Spark based upon open source libraries. Spin up clusters and build quickly in a fully managed environment with the global scale and availability of Microsoft Azure.

The Adventure Works database is provided as raw delimited files to transform. We will go over read and writing files to popular file formats using PySpark, a Python-based wrapper for the Scala API. The real power of PySpark is the ability to read a file into a data frame and abstract the contents of the file as a temporary view during processing. Optionally, the raw data files can be presented as tables in the hive catalog. Once this abstraction is complete, all the SQL skills that you have obtained over the years can be used to transform the views/tables in the hive catalog into refined data in the data lake.

Two third of the presentation will be focused on the mechanics to transform raw data files into hive objects. The rest of the presentation will be spent on exploring Spark SQL constructs and functions. At the end of the presentation, the SQL Server developer will be able to join the Big Data Engineering Team as a functional asset.

Here are the event details (how to connect):

Getting Started with Azure Synapse Analytics
Tue, Jun 16,[masked]:00 PM - 8:00 PM (EDT)

Please join my meeting from your computer, tablet or smartphone.

We'll will post the event details when they become available.

Thanks and see you there!
Christian and Michelle.

Photos (1,056)

Find us also at