Fabric AI Retail Demo¶
This learning hub shows how Microsoft Fabric can provide a unified retail data foundation and prepare governed data for future AI-driven scenarios. The source demo combines a medallion architecture, Fabric capacity and workspace setup, Azure OpenAI and LLM experimentation, Data Agent, Power BI, and deployment practices.
Warning
This is a community learning demo. Validate Fabric licensing, capacity sizing, costs, regional availability, tenant settings, security, data governance, and production deployment requirements before using these patterns in a real retail workload.
flowchart LR
S[Retail source data] --> B[Bronze: ingest]
B --> SI[Silver: refine]
SI --> G[Gold: business-ready data]
G --> BI[Power BI and analytics]
G --> AI[AI, LLMs, and Data Agent]
O[Governance and DevOps] --> B
O --> SI
O --> G
Retail data foundationUse the medallion pattern to turn raw retail files into curated business data.
AI and Data Agent readinessLearn how governed lakehouse, warehouse, and semantic-model data can support AI experiences.
Provision the demoChoose portal or Terraform setup and review capacity, cost, access, and network assumptions first.
Govern and operateConnect workspace access, Power BI, Git integration, and deployment pipelines to repeatable delivery.
Start here¶
| Need | Start with |
|---|---|
| Understand the data journey | Retail data foundation |
| Explore AI-enabled analytics safely | AI and Data Agent readiness |
| Create a learning environment | Provision the demo |
| Promote work through governed environments | Govern and operate |