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ajit_iter06
Regular Visitor

Struggling to scale Microsoft Fabric deployments across DEV, UAT, and PROD without manual workspace promotions and configuration drift? This technical deep dive shows you how to build a production-grade CI/CD pipeline using fabric-cicd, Azure DevOps, and Fabric-native Variable Libraries—with team-scoped Git integration, cherry-pick-based promotions, and a dual parameterization strategy that handles both runtime and deployment-time configurations. Learn the architecture decisions that matter: when to use Variable Libraries vs. parameter.yml, how to activate environment-specific settings through Azure DevOps variable groups, and why cherry-picking gives you surgical control over what reaches production.
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alexrc
New Member

In large restaurant chains, keeping tabs on thousands of assets equipment, inventory, purchase orders, and transfers across hundreds of locations is a significant operational challenge. When that data lives in disconnected systems, gets reported manually, and arrives 24–48 hours late, the business is always flying behind the windshield.

This post walks through how we helped Restaurant Industry Company replace a fragile, manual reporting pipeline with a fully automated Micr... , reducing data latency from 48 hours to under 3, eliminating manual reporting effort, and laying the foundation for AI driven forecasting.

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