Sam Debruyn

In this session, we’ll explore how to monitor, split and configure Fabric Capacities for different workloads. Autoscaling, auto pause, bursting, smoothing, monitoring, and more, we’ll cover it all.

After loading data into OneLake, this session shows how Soda helps ensure data quality using automated tests and alerts, data contracts, and an intuitive dashboard to monitor and explore data quality metrics.

Modern data platforms all claim to be open—but what does that mean? This talk compares Fabric, Databricks, Snowflake, BigQuery, AWS, and dbt/Fivetran, cutting through marketing to show what openness really is and how it benefits data practitioners.

This session shares real-world lessons from rolling out Microsoft Fabric in a mid-sized organization, from pilot to full adoption. It covers successes, pitfalls, architecture choices, and why Fabric worked despite limited engineering capacity.