Want to use notebooks to leverage data from a Power BI semantic model (dataset)? Maybe you’re a data scientist wanting to augment your models with that data, or maybe you just want to validate stuff as a Power BI developer. Semantic Link (or Sempy) can help!<\/p>\n
Sample Notebook: https:\/\/github.com\/guyinacube\/demo-files\/blob\/master\/video<\/a>%20demos\/Synapse\/20231019%20-%20Sempy.ipynb<\/p>\n What is semantic link? Tutorial: Clean data with functional dependencies Tutorial: Extract and calculate Power BI measures from a Jupyter notebook Detect, explore, and validate functional dependencies in your data fabric Package \ud83d\udce2 Become a member: https:\/\/guyinacu.be\/membership<\/a> <\/p>\n *******************<\/p>\n Want to take your Power BI skills to the next level? We have training courses available to help you with your journey.<\/p>\n \ud83c\udf93 Guy in a Cube courses: https:\/\/guyinacu.be\/courses<\/a><\/p>\n ******************* — http:\/\/twitter.com\/guyinacube<\/a>
\nhttps:\/\/learn.microsoft.com\/fabric\/data-science\/semantic-link-overview<\/a><\/p>\n
\nhttps:\/\/learn.microsoft.com\/fabric\/data-science\/tutorial-data-cleaning-functional-dependencies<\/a><\/p>\n
\nhttps:\/\/learn.microsoft.com\/fabric\/data-science\/tutorial-power-bi-measures<\/a><\/p>\n
\nhttps:\/\/learn.microsoft.com\/fabric\/data-science\/semantic-link-validate-data<\/a><\/p>\n
\nhttps:\/\/learn.microsoft.com\/python\/api\/semantic-link-sempy\/sempy.fabric?view=semantic-link-python<\/a><\/p>\n
\nLET’S CONNECT!
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