Applying CI/CD in Microsoft Fabric is less about chasing a single “perfect” pattern and more about adopting a maturity path that matches your team’s reality. Fabric offers native building blocks (Git integration and deployment pipelines), but real-world DataOps outcomes require decisions about workspace tiering, branching discipline, release packaging, and environment-aware configuration.

We’ll walk through practical deployment approaches ranging from Fabric deployment pipelines to code-driven automation using GitHub Actions or Azure DevOps, and where supporting tooling like VS Code, the Fabric CLI, and Terraform can help round out a more complete DataOps operating model. Along the way, we’ll address the real-world friction points that commonly slow teams down in Fabric, including how to keep development continuously releasable, how to manage data readiness across environments when data itself isn’t versioned in Git, and how to handle cross-environment reference drift when asset identifiers change between workspaces.

The session includes live demos that walk through representative end-to-end workflows, from making a change in a feature branch to promoting a tested release through environment tiers using both Fabric-native and code-driven approaches. You’ll leave with a practical decision framework for choosing the right CI/CD pattern for your team’s current maturity, plus a concrete branching and environment strategy you can adapt immediately to reduce deployment risk and improve team velocity.

Who should attend: data engineers and technical leads who need to collaborate safely, isolate development from production, and evolve Fabric DataOps without turning it into an all-or-nothing transformation.

What you’ll take back: a clear maturity roadmap, a defensible branching and workspace strategy, and proven patterns for moving from “we deploy changes” to “we can release confidently.”