Manage Azure ML compute resources & Data Factory (IN-PERSON @ DataSense)

Detailed information and registration can be found here :
https://dataminds.be/personal-compute-in-azureml-charlie-and-the-data-factory/

### Managing personal compute resources in Azure Machine Learning centrally

Speaker: Daan Roosen

Session:
In this presentation, we will address the challenge of centrally managing personal compute resources in Azure Machine Learning, where each user works on a dedicated virtual machine (VM) that requires individual configuration and maintenance. We’ll explore effective strategies for automating the setup and ongoing management of these compute instances to ensure they are equipped with necessary dependencies and security patches. By centralizing these efforts, we aim to streamline processes, maintain consistency across all development environments, and enhance overall efficiency and security within the Azure Machine Learning platform.

Speaker:
Daan Roosen
Daan Roosen is a highly skilled data architect at DataSense. With expertise in data modeling, cloud platforms, and a wide range of technologies, he’s a go-to expert for crafting effective data strategies. Daan’s knack for training and coaching teams enhances their ability to harness data effectively, making him a valuable asset in driving business success.

### Charlie and the Data Factory: A Magical Journey from Single to Multi-Environment with ADF and SQL Server

Speaker: Wouter Pardon

Session:
In our data orchestration journey, our goal is to transition smoothly from a single development environment to an automated multi-environment approach using Azure Data Factory and SQL Server. Drawing inspiration from Willy Wonka’s skillful touch, we focus on ensuring efficient development and a smooth transition from development to production. Similar to the subtle magic of Golden Tickets, our aim is to create a flexible landscape that prioritizes adaptability and scalability in the field of data architecture.

Speaker:
Wouter Pardon
Wouter Pardon is a talented data engineer at DataSense, specializing in Azure. With a passion for guiding customers through end-to-end data projects, Wouter’s expertise ensures smooth execution and optimal outcomes. Eager to continually learn and evolve, he is dedicated to honing his skills and becoming an expert data engineer.