Join us to learn how Materialized Lake Views (MLVs) in Microsoft Fabric streamline the implementation of the Medallion architecture using Spark SQL.

With extended SQL syntax, you can create MLVs and apply data quality constraints in a single step—making your data pipelines more efficient and reliable.

This session will cover how to schedule and automate MLV execution, leverage built-in monitoring, and apply best practices to maximize performance and maintainability.

We’ll also cover the latest updates: incremental refresh and PySpark support, offering practical guidance for you to get started with MLVs effectively.