In this blog post I’m going to show you how you can use variable libraries with connection strings as well as items. This approach allows you to manage environment-specific configuration when deploying Fabric items across development, test, and production workspaces If you’re looking to move your fabric capacities across workspaces or regions, you can do this quickly and easily without…

In this blog post I am going to show you how to use a Fabric Python runtime notebook (This is the notebook which only uses Pure Python functions and consumes significantly lower Capacity Units (CUs)). The pattern is how to get new data and merge it into an existing Lakehouse table. This ensures that if the notebook is run again…

In this post I will show how I used GitHub Copilot CLI / Agent mode in VS Code to create a Microsoft Fabric pipeline that checks Lakehouse table health and only optimizes tables that require maintenance. I’ll also show the prompts I used, the issues I ran into, and how Copilot helped me resolve them. Recently Microsoft announced Lakehouse table…

With the new Lakehouse Auto-Binding capability in Notebook Git integration, Fabric can now intelligently preserve and resolve the binding between your notebooks and their attached Lakehouses as you move them across workspaces. This makes true multi-environment development and CI/CD workflows in Fabric significantly smoother and more reliable. I am going to show you how to do this in the blog…

In this blog post I show how it is possible to access data between a Private Link Workspace, where I want to read the data from my Public Workspace. An example of this is where I wanted to use a DirectLake Semantic Model sitting in my Public Workspace where the data is from data in my Private Link Workspace. Get…