Metadata-Driven Framework

Metadata-Driven Framework (MDF) is DSI's Microsoft Fabric solution accelerator and standardized delivery framework for modern Lakehouse-based analytics. MDF helps organizations accelerate Microsoft Fabric adoption by providing a production-ready foundation for data ingestion, transformation, orchestration, deployment, and operationalization. Designed to reduce implementation risk and repeated engineering effort, MDF enables organizations to deliver scalable analytics platforms faster, with greater consistency and operational supportability.

Built specifically for Microsoft Fabric, MDF standardizes how Lakehouse-based data platforms are designed, implemented, deployed, and operated. By combining metadata-driven configuration, reusable engineering components, predefined orchestration pipelines, and repeatable deployment patterns, MDF enables organizations to deliver enterprise-grade data solutions without rebuilding common engineering capabilities for every implementation.

At the core of MDF is a metadata-driven execution model where metadata defines what should be executed and reusable components define how execution occurs. MDF uses standardized Microsoft Fabric Pipelines to orchestrate workloads and reusable notebooks to execute data processing logic, ensuring consistent delivery patterns while maintaining the flexibility required to support evolving business requirements. MDF does not dynamically create pipelines; it applies metadata-driven execution to predefined, production-ready orchestration and processing components.

MDF operates entirely within Microsoft Fabric and leverages native Fabric capabilities, including OneLake, Lakehouse, Fabric Pipelines, Notebooks, and Eventhouse. The framework incorporates established Bronze, Silver, and Gold Lakehouse implementation patterns as standardized delivery models for building scalable, maintainable, and production-ready analytics solutions. Through a repeatable lifecycle of Configure → Orchestrate → Execute → Deploy → Iterate, MDF helps organizations move efficiently from proof-of-concept initiatives to enterprise-scale production deployments. By standardizing delivery patterns and reducing repeated engineering effort, MDF improves implementation consistency, accelerates solution delivery, and provides a scalable foundation for analytics, reporting, and AI-ready data platforms.

Key Benefits • Accelerate Microsoft Fabric adoption with a production-proven solution accelerator. • Reduce implementation effort through reusable engineering components and repeatable delivery patterns • Standardize data platform delivery using metadata-driven execution. • Improve consistency, scalability, maintainability, and operational supportability. • Enable repeatable deployment from proof of concept to production. • Establish a scalable foundation for analytics, reporting, and AI-ready data platforms