Optimizing and automating Microsoft Fabric scenarios with Semantic Link Labs

This session will focus on demonstrating key features of Semantic Link Labs, a python library for Microsoft Fabric notebooks. Semantic Link Labs can significantly boost productivity and automation processes for your company, letting humans focus on higher-level tasks which truly require a human while machines do the rest.

https://github.com/microsoft/semantic-link-labs

Knowledge of python is not required.

Michael Kovalsky is a Principal Program Manager on the Fabric CAT team at Microsoft where he advises enterprise customers with regard to semantic modeling, DAX and performance optimization, Dev Ops automation processes and Semantic Link.

He is the primary author of the Semantic Link Labs library for Fabric notebooks and various other tools built for the Power BI and Fabric community including the Report Analyzer and the best practice rules for Tabular Editor’s Best Practice Analyzer.

https://www.linkedin.com/in/michaelkovalsky/ https://www.elegantbi.com https://github.com/m-kovalsky https://github.com/microsoft/semantic-link-labs