Webinar: Managing Microsoft Fabric with Azure DevOps and Git

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Managing Fabric Development with Azure DevOps & Git

Microsoft Fabric Summer Webinar Series Session 3:

Managing Fabric Development with Azure DevOps and Git

This is Session 3 of our 6-part Microsoft Fabric Summer Webinar Series. AI is only as good as the data it relies on, and this series is designed to address that, one architectural layer at a time. See the full 6-part series lineup and the thread that ties it all together.

Who this session is for

This session is for IT leaders, data architects, Microsoft Fabric admins, developers, and technical teams building on Microsoft Fabric.

If your Fabric environment is starting to support real business processes, this session is for you. You may be asking:

How do we manage Fabric changes without everything becoming manual and fragile?
How do we move work safely from development to test to production?
How do we avoid breaking pipelines, notebooks, and models as the platform grows?
How do we bring real source control into our Fabric development process?

What this session is about

Fabric makes it easy to start building notebooks, pipelines, lakehouses, models, and reports. The problem is that "easy to build" often means "easy to break." Without source control and a real development lifecycle, your Fabric environment becomes a single live workspace where every change is manual, untracked, and one bad edit away from taking something important down.

That's fine when you're experimenting. It's a real risk once Fabric is running master data, feeding Power BI, or supporting business decisions.

Before you push trusted data back into mission-critical systems, the Fabric platform itself must be stable and well-governed. In this session, we'll get your Fabric artifacts into Git and set up a repeatable deployment pattern in Azure DevOps that moves work safely from dev to test to production, using Envision IT's own tenant as the working example.

What you will learn from this session

In 45 minutes, you'll learn to bring a disciplined development lifecycle to Microsoft Fabric.

You'll walk away knowing how to:

Connect your Fabric workspace to Git. See how Fabric's Git integration works, which artifacts are version-controlled (notebooks, pipelines, semantic models, reports, and more), and how to structure your repository so it stays clean as the platform grows.
Establish a branching strategy that fits your team. We'll look at practical branching models, including feature branches, pull requests, and reviews, so multiple people can work in Fabric without overwriting each other's work or pushing untested changes into shared environments.
Build a dev, test, and production pipeline in Azure DevOps. We'll set up deployment pipelines that promote artifacts through environments in a controlled, repeatable way, including handling workspace-specific configuration and parameters so the same artifact behaves correctly at each stage.
Manage changes safely. Learn how to test before you deploy, roll back when something goes wrong, and always know what changed, who changed it, and why.
Avoid common traps. Deployment rules, environment drift, hardcoded connections, and the "it worked in dev" problems that quietly break production.

Why this matters

Most teams don't find it hard to build with Fabric; their challenge is maintaining platform stability as it becomes more useful. For instance, a notebook might be updated in one workspace but not in another. A pipeline may work fine in development but fail in production. It's often unclear which version is current.

Implementing source control and a proper deployment lifecycle addresses these issues. It enables testing changes before deploying to users, clarifies what has been modified, and ensures safer progress. This is how Fabric evolves from a promising workspace into a reliable platform your business can count on.

Save Your Seat

If you're building on Microsoft Fabric, this session will help you move beyond the first build and manage your platform with the discipline of production-grade software.