DSI Metadata-Driven Framework (MDF) for Microsoft Fabric

Accelerate Microsoft Fabric delivery

DSI's Metadata-Driven Framework (MDF) is the standardized engineering foundation DSI uses to accelerate Microsoft Fabric implementations.

Rather than rebuilding ingestion, transformation, orchestration and operational capabilities for every project, MDF provides reusable Fabric pipelines, notebooks and engineering patterns configured around each customer's requirements.

Metadata defines what. MDF standardizes how. DSI delivers the outcome.

Standardized, but configured for you

MDF standardizes the engineering foundation while allowing each implementation to address customer-specific sources, business rules, transformations and data products.

Capabilities include:

Metadata and YAML-driven configuration Reusable Fabric pipelines and notebooks Bronze, Silver and Gold processing patterns Project and environment scaffolding Fabric item templates Operational logging and observability Repeatable engineering and deployment patterns

The result is less repetitive engineering, greater implementation consistency and a supportable foundation that can evolve as new workloads are added.

Included with your DSI implementation

MDF is incorporated into qualifying DSI Microsoft Fabric implementation engagements and does not require a separate MDF software licence fee.

Customers receive the configured framework as part of their implemented solution.

MDF is designed to make DSI engagements faster, more consistent and easier to transition into ongoing operations.

Operate it yourself or with DSI

Following implementation, customers can operate their Microsoft Fabric environment using their own teams or transition to DSI Managed Services for ongoing operational and framework support.

Because MDF provides consistent engineering, configuration and operational patterns, it establishes a familiar foundation for ongoing support and continued platform evolution.

Built for Microsoft Fabric

MDF is designed for organizations moving from Fabric proof of concept to production, onboarding multiple data sources or data products, or establishing a repeatable engineering foundation for a growing Fabric environment.

Standardization where it creates efficiency. Configuration where requirements differ. Custom engineering where it creates business value.