New YouTube Video: Azure Databricks & Microsoft Fabric – Mirroring, Semantic Models and Power BI

In my latest YouTube video, I take a closer look at how Azure Databricks and Microsoft Fabric can work together in a modern analytics environment. I walk through the process of setting up Azure Databricks Mirroring in Microsoft Fabric, allowing Databricks tables to be automatically replicated and used within Fabric.
From there, we create a Semantic Model and build a Power BI report on top of the mirrored data. The video covers the complete journey—from preparing data in Azure Databricks to creating meaningful reports and visualizations in Power BI.
If you’re interested in combining Databricks and Fabric in a practical, real-world scenario, this video will give you a hands-on overview of the entire process.

You can watch the video on YouTube or directly below.

 

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Fabric Jumpstart: Deploying and Extending the Fabric Platform Monitoring – Capacity Events Real-Time Intelligence Solution

Introduction

In this article, I write about Fabric Jumpstart, a website where you can find demos and tutorials to get started with Fabric. However, you can also find solutions there that are perfectly suitable for use in production environments. In this article, I will show you how to use Fabric Jumpstart and deploy solutions in a workspace.

In my example, I will deploy a Real-Time Intelligence workload, focusing on Capacity Events. We can use this solution to monitor the utilization of one or more capacities. This is extremely helpful. We can also extend the solution to receive notifications using Fabric Activator. I will describe this in more detail later in the article.

The solution does the following:
Monitor your Fabric capacity usage in real time using Capacity Events. Telemetry data is streamed into an Eventhouse via Eventstream and analyzed through live KQL dashboards. This helps you identify usage trends early and manage your resources proactively.

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