Data EngineeringData Engineering & Architecture
Materialized Lake Views Simplifying Your Medallion ETL
This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Materialized lake views turn Spark SQL into auto-orchestrated smart tables in your Fabric lakehouse. In this session, learn how to replace fragile ETL with declarative medallion layers, understand refresh and lineage, and decide when materialized lake views beat notebooks, jobs, or warehouses.
Key takeaways
- Medallion + Materialized Lake Views
- Understand where MLVs fit in your ETL
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