Data & AI
Fabric OneLake foundations, governed ingestion, Databricks Lakehouse, real-time analytics, MLOps pipelines and Copilot/RAG with responsible AI controls.
Plan a data/AI sprintCapability Areas
- Fabric & OneLake setup (domains, medallion, ingestion pipelines)
- Purview governance (catalog, lineage, classification, policies)
- Databricks Lakehouse (Delta, Unity Catalog, performance tuning)
- Streaming & Real-time analytics (Event Hubs/Kafka → Power BI)
- MLOps (MLflow, Azure ML, CI/CD, drift monitoring)
- Copilot & RAG enablement (prompt flows, retrieval, guardrails)
Engagement Artifacts
- Data domain design & ingestion playbooks
- Security & governance model (roles, classifications, masking)
- MLOps pipeline templates & monitoring dashboards
- Copilot reference implementation with evaluation reports
