Microsoft Fabric Data Platform Design and Implementation
All for One Group SE
Design and implement a secure, scalable Microsoft Fabric Analytics Data Platform including ingestion, medallion data model, semantic models, governance, DevOps, and business-ready Power BI reporting
Design and implement a secure, scalable Microsoft Fabric Analytics Data Platform including ingestion, medallion data model, semantic models, governance, DevOps, and business-ready Power BI reporting
This offer establishes a complete Microsoft Fabric data platform that enables organizations to integrate SAP and non-SAP data, standardize analytics delivery, and operate with enterprise-grade governance and security.
The service covers architecture, implementation, and operational handover. We build a medallion-based data platform in Microsoft Fabric (Bronze, Silver, Gold) on OneLake, implement robust ingestion pipelines, develop curated data products, and provide semantic models for consistent reporting in Power BI and Excel.
What is included
- Target architecture and implementation blueprint for Microsoft Fabric
- Source integration patterns for SAP and non-SAP systems
- Data ingestion pipelines with delta loading, error handling, monitoring, and restart logic
- Lakehouse/Warehouse modeling across Bronze, Silver, and Gold layers
- Semantic modeling standards (star schema, KPI definitions, naming conventions, performance rules)
- Power BI-ready serving layer with reusable measures and governed datasets
- Security and governance setup including role-based access and data governance processes
- DevOps and ALM setup (Git integration, CI/CD, release governance, traceability)
- Monitoring and operations setup, including incident and change process guidance
- Knowledge transfer, documentation, and transition to customer operations
Business outcomes
- Single governed analytics platform in Microsoft Fabric
- Faster onboarding of new data sources and use cases
- Improved data quality, traceability, and audit readiness
- Standardized KPI logic and reporting consistency
- Reduced operational risk through DevOps, monitoring, and clear ownership