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 CI/CD pipelines.
Construct a full data engineering solution and gain a solid understanding of Microsoft Fabric git and deployment pipeline solution paths.
Set up Microsoft Fabric workspaces for Git integration, make changes, and seamlessly update workspaces across environments.
Understand how variables, environments, and deployment rules work in practice for enterprise-scale solutions.
Build CI/CD pipelines that promote changes from development to production with confidence and reliability.
Whether you're a data engineer, architect, or DevOps practitioner, this workshop will equip you with the skills to confidently manage Fabric-based solutions at scale.
Configure your development environment with all necessary tools and verify access to Microsoft Fabric.
Deploy a complete medallion architecture (Bronze → Silver → Gold) to your first Fabric workspace.
Synchronization point to ensure all participants have successfully deployed the base architecture
Connect Fabric workspaces to Git repositories and establish branching strategies for multi-environment deployment.
Implement isolated development environments using feature branches and dedicated workspaces.
Build enterprise-grade deployment pipelines with environment-specific configurations and promotion rules.
Technical validation to ensure all deployment pipelines are configured correctly
Complete the deployment pipeline with test environment integration and full validation workflows.
Implement CI/CD automation using Azure DevOps pipelines and service principal authentication.
Final validation to confirm CI/CD automation is operational before advanced topics
Master production-ready patterns for schema evolution, data migration, and emergency recovery procedures.
Git configuration • Python environment • fabric-cli • VSCode integration
Medallion architecture • Lakehouse design • Data pipelines • Semantic models
Git integration • Branching strategies • Merge workflows • Conflict resolution
Pipeline design • Environment promotion • Azure DevOps • Service principals
Schema evolution • Data migration • Rollback strategies • Disaster recovery
Multi-environment • Production deployment • Security • Team collaboration
Join us at the European Microsoft Fabric Community Conference and transform how you manage data engineering solutions at scale.