Finish the Puzzle: Querying Power BI Semantic Models with Semantic Link!
Semantic Link (Sempy) is a tool that allows you to leverage data from a Power BI semantic model using notebooks. It can be useful for data scientists looking to augment their models or Power BI developers wanting to validate data. There are several tutorials available, including cleaning data with functional dependencies, extracting and calculating Power BI measures from a Jupyter notebook, and detecting, exploring, and validating functional dependencies in your data. The fabric package provides additional resources for working with Semantic Link. Training courses are also available to help you enhance your Power BI skills. Connect with Guy in a Cube on various social media platforms for more information.
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