Python on Sam Debruyn

Thread by Thread: Lessons from Migrating to Fabric

Thu, 05 Feb 2026 00:00:00 +0000

Tickets | Schedule

SQL Resurgence: Unleashing data potential with dbt

Thu, 27 Nov 2025 00:00:00 +0000

The largest Microsoft Fabric community event in Belgium

SQL Resurgence: Unleashing data potential with dbt

Mon, 06 Oct 2025 00:00:00 +0000

Tickets & registration | Schedule

From Fabric to Fantastic: How dbt Makes Your Lakehouses and Warehouses Shine

Fri, 20 Jun 2025 00:00:00 +0000

More information | Session details | Tickets | Agenda

Fabric Fortresses: Setting Up Microsoft Fabric for Your Enterprise Needs

Wed, 28 May 2025 00:00:00 +0000

More information | Session details | Tickets

Join us to master Microsoft Fabric for enterprise-level challenges. Learn how to integrate private networking, manage resilience and disaster recovery, ensure seamless access control and configure vigilant monitoring to safeguard your data architecture. We’ll use Workspace Identity, Private Endpoints, and go through all the different ways to provide or restrict access to your data. By the end of this talk, you’ll be ready to build a robust and secure data platform on Microsoft Fabric.

Quick Tip: Fabric Runtime preinstalled packages

Wed, 23 Apr 2025 12:40:34 +0200

Today I have a quick tip for you. I thought that I could find the list of preinstalled Python packages somewhere on Microsoft Learn , but either Microsoft stopped publishing this, or I couldn’t find it. So with this tip, you can easily find the list of preinstalled packages in your Fabric Runtime environment.

From Flat to Sparkling: Monitoring Data Quality with Soda in Microsoft Fabric

Wed, 25 Sep 2024 00:00:00 +0000

Registration

After loading all of your data into OneLake, you might be wondering how to ensure its quality. In this session, we’ll explore and demonstrate how Soda can help you monitor data quality with automated data testing and alerting, write and monitor data contracts, and browse data quality metrics in a user-friendly dashboard.

SQL Resurgence: Unleashing Data Potential with dbt - session

Tue, 24 Sep 2024 00:00:00 +0000

Tickets

Join us on an exhilarating exploration of the data landscape as we delve into the phenomenon that is dbt. It has taken the world by storm and is now the most popular data transformation tool. Let’s dive into this new era and witness the renaissance of SQL at the core of data analytics, bringing it back to those who know the data best.

From Fabric to Fantastic: How dbt Makes Your Lakehouses and Warehouses Shine

Wed, 11 Sep 2024 00:00:00 +0000

I gave a session on dbt at the Microsoft Fabric Global Online Conference. If you want to learn more about Microsoft Fabric, get your ticket for this free online event: https://microsoftfabric.global/

Guest on DataTopics Unplugged podcast: OSS equals marketing?

Mon, 06 Nov 2023 00:00:00 +0000

I was a guest on the DataTopics Unplugged podcast, where we discussed several data-related topics.

Show notes and download/listen links

Fabric end-to-end use case: Analytics Engineering part 1 - dbt with the Lakehouse

Mon, 11 Sep 2023 09:59:11 +0200

Welcome to the fourth part of a 5-part series on an end-to-end use case for Microsoft Fabric. This post will focus on the analytics engineering part of the use case.

In this series, we will explore how to use Microsoft Fabric to ingest, transform, and analyze data using a real-world use case. The series focuses on data engineering and analytics engineering. We will be using OneLake, Notebooks, Lakehouse, SQL Endpoints, Data Pipelines, dbt, and Power BI.

Fabric end-to-end use case: Data Engineering part 1 - Spark and Pandas in Notebooks

Mon, 28 Aug 2023 08:58:56 +0200

Welcome to the second part of a 5-part series on an end-to-end use case for Microsoft Fabric. This post will focus on the data engineering part of the use case.

Let Fabric teach you how to code with Data Wrangler

Wed, 09 Aug 2023 10:22:38 +0200

I’m going to be honest with you. I’m bad at writing Pandas data transformation code. Throughout the years I mostly focussed on the Spark APIs in Scala and PySpark, SQL, dbt, and some others, but I find the Pandas APIs usually just confusing and hard to read. I don’t like the black box magic and lock-in of low-code solutions either. Did you know that Microsoft Fabric has the perfect middle ground for this? It’s called Data Wrangler. Let’s dive in!

How to use service principal authentication to access Microsoft Fabric's OneLake

Tue, 01 Aug 2023 10:28:11 +0200

Microsoft recently added support to authenticate to OneLake using service principals and managed identities. This allows users to access OneLake from applications without having to use a user account. Let’s see how this works.

Connect to Fabric Lakehouses & Warehouses from Python code

Tue, 11 Jul 2023 09:14:24 +0200

In this post, I will show you how to connect to your Microsoft Fabric Lakehouses and Warehouses from Python.

Installing the Azure Event Hubs Python SDK on Raspberry Pi OS 64-bit

Tue, 11 Aug 2020 22:16:24 +0200

Since we’re going through some heat waves in Europe, I thought it might be interesting to start measuring the humidity, temperature and pressure in my apartment. To do so, I decided to use my Raspberry Pi 3 and the Pi Sense HAT running a Python script constantly sending measurements to an Azure Event Hub.

Wake up your computer(s) with a simple email using a Raspberry Pi

Sun, 22 Dec 2013 00:00:00 +0000

Introduction

I have a Spotify Premium subscription but I also have a few CDs which are not available on streaming services. I don’t like the whole process of syncing files, that’s why I took a Spotify subscription in the first place. Google offers a solution with Play Music : you can upload up to 20,000 songs to their servers for free and stream them to all of your devices. I didn’t use this because the Google Play Music app was too slow for my previous phone (Google Nexus S ). So I decided to put my CDs on a computer and use that computer as a server with Tonido . This way I could stream my music over the Internet to all of my devices. As a plus I could also put all my photos on this device so that I could show them to friends or family wherever I am.