In my previous blog post, I introduced Semantic-Link, discussing its use cases and explained how it enables us to create solutions that were either not possible or not easily achievable before. In this blog post, I would like to present another powerful use case that, although possible in the past, could not be created and used seamlessly in Power BI. Allow me to introduce the MeasureMaze Python library, which helps uncover insights from a complex maze of dependencies in a Power BI semantic model using Semantic-Link and the power of network analysis.
Sandeep dives into the approach and what you get out of this library. It’s very interesting.