Great Expectations in Fabric with Semantic Link
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Great Expectations in Fabric with Semantic Link
Hey community!
I’m excited to share with you all this great update from Microsoft bout using Great Expectations -an open source Python library- with Sematic Link in Fabric.
This integration allows user to perform data quality and validation easily and accurately on any data asset, including Power BI datasets and DAX measures -the beauty of Sematic Link-, data value expectations and data quality checkpoints.
Here is a sample notebook available if you are intersted to view how it works: fabric-samples/docs-samples/data-science/semantic-link-samples/great_expectations_tutorial.ipynb at main · microsoft/fabric-samples (github.com)
Thank you!
github.com
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Samples and data for Microsoft Fabric Learn content - File not found · microsoft/fabric-samples
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