Git and CI/CD mastery inside Fabric Data Engineering

Modern data engineering demands more than just building pipelines—it requires robust version control, seamless collaboration, and reliable deployment across environments. Yet, many teams struggle to manage complex Microsoft Fabric solutions across development and production stages.
This hands-on workshop solves that problem by guiding you through a complete, end-to-end implementation of a data engineering solution using Microsoft Fabric. You'll learn how to integrate Lakehouse, Spark Notebooks, Warehouses, Data Pipelines, Semantic Models, and Power BI into a cohesive system—all under Git source control and deployed through automated CI/CD pipelines using modern tooling.

What you'll master:
1. Infrastructure as Code - Deploy and manage Fabric workspaces, capacities, and security configurations using Terraform
2. Command-line automation - Leverage fabric-cli for scripted workspace management, artifact deployment, and operational tasks
3. Advanced CI/CD patterns - Implement sophisticated deployment pipelines using fabric-cicd framework for environment promotion and release management
4. Git integration strategies - Configure workspace-to-repository mappings, branching strategies, and merge conflict resolution
5. Environment management - Design and implement variable substitution, deployment gates, and rollback mechanisms across dev/staging/production environments

By the end of this workshop, you'll have hands-on experience with the complete toolchain needed to manage enterprise-grade Fabric solutions—from infrastructure provisioning through production deployment. Whether you're a data engineer, platform architect, or DevOps practitioner, this workshop will equip you with the skills to confidently manage Fabric-based solutions at scale using industry-standard automation tools.