How to use Fabric Semantic link
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How to use Fabric Semantic link
Semantic link is a feature that allows you to establish a connection between semantic models and Synapse Data Science in Microsoft Fabric. Use of semantic link is supported only in Microsoft Fabric.
For Spark 3.4 and above, semantic link is available in the default runtime when using Fabric, and there's no need to install it.
For Spark 3.3 or below, or to update to the latest version of semantic link, run the following command:
Python
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%pip install -U semantic-link
The primary goals of semantic link are to:
Facilitate data connectivity.
Enable the propagation of semantic information.
Seamlessly integrate with established tools data scientists use, such as notebooks.
Semantic link helps you preserve domain knowledge about data semantics in a standardized way that can speed up data analysis and reduce errors.
Power BI connectivity
A semantic model serves as a single tabular object model that provides reliable sources for semantic definitions such as Power BI measures. Semantic link connects to semantic models in the following ecosystems, making it easy for data scientists to work in the system they're most familiar with.
Python pandas ecosystem, through the SemPy Python library.
Apache Spark ecosystem, through the Spark native connector. This implementation supports various languages, including PySpark, Spark SQL, R, and Scala.
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