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Metadata-Driven Architecture

Configuration contracts, reusable orchestration, observability, restartability, and deployment patterns.

Data Factory Spark Lakehouse Governance & Purview

Content

Lesson
Spark SQL in Microsoft Fabric — Intermediate: Catalyst, AQE, and choosing your SQL engine
Lesson
Spark SQL in Microsoft Fabric — Expert: Native Execution Engine, shuffle, and read-path internals
Lesson
Spark SQL in Microsoft Fabric — Beginner: querying the lakehouse from notebooks
Lesson
Architecting Spark Workloads in Microsoft Fabric
Lesson
Spark Engine Internals in Microsoft Fabric: Native Execution, Compute Topology, and the Write Path
Lesson
The Spark engine in Microsoft Fabric — Beginner
Lesson
Delta Tables in Microsoft Fabric: Architecting for Multi-Engine Access
Lesson
Delta Tables in Microsoft Fabric: Storage Internals, V-Order, and Maintenance Mechanics
Lesson
Delta tables in Fabric — Beginner
Architecture
Metadata-Driven Frameworks in Microsoft Fabric: implementation blueprint
Article
Metadata-Driven Architecture in Microsoft Fabric
How to replace one pipeline per source with a single configuration-driven framework in Fabric Data Factory and Spark: the contract, the reusable orchestration, the run ledger that makes it restartable, and where the pattern breaks down.
Lesson
Governance and Purview in Microsoft Fabric — Beginner
Lesson
Data Factory in Microsoft Fabric — Beginner