Fabric

Provide implementation guidance for production-ready Microsoft Fabric workflows.

When to Use

• You are developing data engineering or analytics workflows in Fabric.
• You need best practices for ingestion, transformations, and semantic models.

Workflow

1. Define source systems, refresh cadence, and data quality rules.
2. Design lakehouse/warehouse/pipeline architecture.
3. Implement transformations with lineage and validation checkpoints.
4. Configure model and report readiness for consumers.
5. Add monitoring, cost control, and recovery plans.

Output

• Fabric architecture plan
• Pipeline and model guidance
• Reliability/cost optimization checklist