Data-Driven Fabric Accelerator

Data Driven Fabric Accelerator

Looking for a smoother way to get your data platform up and running? The Data Driven Fabric Accelerator (DDFA) makes it a breeze to set things up, organise your data, and keep everything running smoothly, all without the usual technical hurdles. This app supports the core DDFA framework by providing a simple interface to configure how it functions instead of hard-coding data mappings, rules, and governance logic.

What It Does

The app allows you to:

• Define where data is sourced from and where it should land
• Map source columns to destination structures in a structured, governed way
• Configure reusable business and validation rules
• Control how data quality checks are applied before processing

All configuration is stored centrally and applied by the DDFA framework, ensuring consistency, scalability, and governance across your Fabric platform.

Key Capabilities

Data Mapping Management

• Register new data sources without rebuilding Fabric pipelines
• Map source fields to destination models through a guided interface
• Capture metadata such as data types, keys, and structural rules
• Maintain clear traceability of how data flows through your platform

Business Rule Management

• Create reusable validation and transformation rules
• Define automated outcomes when rules pass or fail
• Attach rules directly to mappings for structured governance
• Apply field-level validation or summary logic as required
• Execute checks prior to data movement, improving trust and data quality

Why team this app with DDFA?

The DDFA framework provides the technical foundation inside Fabric.
This app provides the configuration layer that makes it usable, scalable, and maintainable.

Together, they allow organisations to modernise legacy data systems, onboard new sources efficiently, and maintain strong governance without adding complexity to their Fabric environment.