Azure Skåne User Group
Combining Home automation with Azure Data
In this session, we explore how everyday IoT data from a Home Assistant setup can become part of a powerful end-to-end data platform using Microsoft Fabric and Azure Data Explorer.
We’ll walk through how to collect, transform, and analyze data from sensors, energy meters, and automations in Home Assistant, and how to stream that data securely into the Azure ecosystem. You’ll see how Azure Data Explorer (ADX) provides fast, time-series analysis and anomaly detection, and how Fabric’s OneLake, Dataflows, and Real-Time Intelligence can bring the data to life through unified dashboards and AI-driven insights.
This talk blends the world of home automation with enterprise-grade data analytics, showing how the same Azure tools used for large-scale IoT and telemetry can easily power data-driven insights at home — and beyond.
Key takeaways:
- How to integrate Home Assistant with Azure and Fabric
- How to query time-series IoT data in Azure Data Explorer
- How visualize data in ADX and Real Time Intelligence
- A little AI
- Inspiration for bridging personal IoT experiments with professional data platforms
Speaker:
Kåre Rasmussen - Hi, I’m Kåre Rasmussen, a Cloud Solution Architect at Microsoft Denmark, where I’ve been helping Danish enterprises get the most out of Azure Data and AI services since 2018. Lately, most of my time has been spent working with Microsoft Fabric, helping customers build unified and intelligent data platforms that truly connect their business data. Before joining Microsoft, I spent 10 years at Ørsted, and I actually started my career as an electrician and power engineer — so I’ve always been close to both data and energy. Outside of work, I’m a bit of a Home Assistant nerd. I love tinkering with my smart home setup and exploring how to connect it with Azure Data services. In my session, I’ll show how you can combine a Home Assistant setup with Azure and Fabric to unlock powerful insights and automations — both at home and in the cloud.
Agenda:
- 17:15 - 17:30 Meet & Greet
- 17:30 - 18:20 Session & Q&A
- 18:20 - 19:30 Meet & Eat