Simplifying Medallion Implementation with Materialized Views in Fabric | DEM566

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​ New features in OneLake and Materialized Views help simplify implementing Medallion architecture. In this demo, we’ll explore how enhanced Spark SQL syntax within notebooks allows developers to declaratively define data transformations without manually setting up pipelines and enforce quality checks thereby minimizing operational overheads. We will show how automatically generated DAGs manage and optimize dependencies, ensuring efficient and reliable medallion implementation.

To learn more, please check out these resources:
* https://aka.ms/build25/plan/MicrosoftFabricDataEngineeringPlan

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Nijel S F

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2025 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com

DEM566 | English (US) | Data & Analytics

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