Microsoft Fabric Modernize Your Data Pipeline

Download the Datasheet: Microsoft Fabric Modernize Your Date Pipeline

Modernizing a data pipeline with Microsoft Fabric is the fastest way to unlock AI-driven insights, reduce complexity, and future-proof your data platform.

OVERVIEW

This Proof of Concept (PoC) demonstrates the value of modernizing an existing data pipeline by migrating it to Microsoft Fabric. By selecting a single pipeline—regardless of its current Platform. We will rearchitect the workflow using Microsoft Fabric’s unified SaaS experience to highlight how Fabric simplifies pipeline development and operations, while showcasing its powerful AI-enhanced capabilities and low-maintenance architecture.

HIGHLIGHTS

AI-Enhanced Development: Accelerate pipeline creation and transformation with built-in Copilot and intelligent automation tools.
SaaS Simplicity:
Eliminates infrastructure management with a fully managed, scalable platform that reduces operational overhead.
Unified Data Experience:
Centralize engineering, integration, and analytics in one workspace with OneLake and Lakehouse architecture.

AGENDA

By bridging existing processes into a modern, intelligent data platform, this PoC will enable scalable, secure, and future-ready data solutions with significantly reduced maintenance overhead.

Workstream 1: Plan & Architect Modernized Data Pipeline

We will define the modernization approach and success criteria by assessing the current pipeline and designing a Fabric-based replacement. Activities:

Gain access to the existing data pipeline or obtain comprehensive documentation detailing its structure, logic, and data sources.
Confrim access to Microsoft Fabric and validate required permissions for pipeline development.
Establish governance strategies including tagging, access control, and cost management.
Outline a high-level design and migration plan for the modernized pipeline within Microsoft Fabric.

Workstream 2: Build and Enable Modernized Data Pipeline

We will execute the pipeline modernization in Microsoft Fabric, validate against success criteria, and present outcomes to stakeholders. Activities:

Rebuild the selected legacy pipeline using Microsoft Fabric's Data Factory and Lakehouse features.
Test the modernized pipeline for data accuracy, performance, and consistency with legacy outcomes.
Evaluate improvements in workflow efficiency, AI integration, and operational simplicity.
Create a comparison report summarizing key differences and value gained from modernization.
Deliver a walk through or live demo of the Fabric pipeline to highlight enhancements and usability.
Review success criteria outcomes and provide recommendations for next steps or full-scale roll-out.