Azure Data Factory has powered enterprise data integration for years, but Fabric has raised the bar on AI-first modern data platforms. In this session, you’ll learn why Fabric Data Factory is the natural evolution of Azure Data Factory, and how it enables a unified, AI-ready approach to data movement, transformation, and orchestration within Microsoft Fabric.

We’ll explore how Fabric Data Factory builds on the proven foundations of ADF while unlocking new value through native integration with OneLake, analytics, real-time data, and AI workloads. You’ll see what stays familiar for existing ADF users, what’s new in Fabric, and how unifying your data integration estate simplifies architecture, governance, and operational management.

A key focus of this session is migration without disruption. We’ll walk through the built-in migration experience, showing how first-party tools help you assess existing ADF pipelines, understand compatibility and readiness, and migrate to Fabric Data Factory incrementally-on your own terms-without starting from scratch.

By the end of this session, you’ll understand:

1) Why organizations are upgrading from ADF to Fabric Data Factory

2) How Fabric provides a future-ready foundation for analytics and AI

3) What the end-to-end ADF-to-Fabric migration journey looks like using built-in tooling

This session is ideal for existing Azure Data Factory users, data engineers, architects, and platform teams planning their next phase of modernization.