Fabric Materialized Lake Views - Public Preview
Data Engineering · Public preview · Shipped
Description
**Materialized lake views** in Microsoft Fabric enables automatic orchestration of queries over a source table or another materialized view, providing up-to-date results efficiently. They improve query performance, reduce resource consumption and simplify overhead tasks involved in operationalizing medallion architecture like error handling, dependency management, data quality monitoring and visualization..
Change History
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2025-10-27
Feature Description **Materialized lake views** in Microsoft Fabric enables automatic orchestration of queries over a source table or another materialized viewproviding up-to-date results efficiently. They improve query performancereduce resource consumption and simplify overhead tasks involved in operationalizing medallion architecture like error handlingdependency managementdata quality monitoring and visualization.**Shortcut transformations** in Microsoft Fabric allows real-time data replication and transformation of data in supported formats from any OneLake supported source into the Lakehouse. It is intended to automate ingestion and transforming data in formats amenable for downstream processing in a no-code experience. Developers can extend the transformation capabilitiesto suit their specific business needs. . -> **Materialized lake views** in Microsoft Fabric enables automatic orchestration of queries over a source table or another materialized viewproviding up-to-date results efficiently. They improve query performancereduce resource consumption and simplify overhead tasks involved in operationalizing medallion architecture like error handlingdependency managementdata quality monitoring and visualization.. -
2025-05-19
Roadmap Item Added
Workload: Data Engineering