Semantic Link and Data Validation

The semantic link feature in Power BI allows users to connect to semantic models and query them in data science applications. This opens up possibilities for data scientists to work with the data in a Python environment and shape it according to their needs. Additionally, the article highlights the use of a Python package called Great Expectations, which aids in data validation for data scientists and engineers. Great Expectations allows for the testing of data quality and the validation of measures, columns, and tables within the semantic model. It can be used to ensure data quality before using it for analysis, as well as to identify any data drift or changes in the production environment. Overall, the semantic link and Great Expectations offer new opportunities for collaboration between data scientists and business analysts, enabling improved data validation and quality assurance.