By heart, I'm a developer in Power BI, focusing on semantic models. I speak DAX and M fluently (okay, fairly fluent). I started in data with T SQL. So, when notebooks using Spark were introduced with Microsoft Fabric I didn't see how that would influence my day-to-day all to much. Man, how wrong was I..

Built into Fabric Notebooks is a feature called 'Semantic Link'. This feature enables notebooks to connect to semantic models living within your environment. Even more, using notebooks you can interact with these semantic models. For example, you can run DAX queries against the model to extract data. You can also access the XMLA endpoint or call on APIs to actually make changes to your model. The possibilities are endless!

In this session we'll dive into a number of hands-on examples of notebooks greatly improving the life of the Power BI Developer. Assessing the impact of a change in the semantic model? Checking whether that report aligns with your best practices? Validating your data before after a refresh? Or do you want to monitor the size of your model over time? Everything is possible and I'll show you how! And the best thing is: you barely need to learn yet another programming language!

In this session an introduction of notebooks and the features used will be made. An intermediate knowledge of semantic models is recommended to follow along some of the more deep examples shown.