Microsoft Fabric & Data
Enterprise Microsoft Fabric architecture, data engineering, lakehouse design, Power BI and governed semantic models — from platform standup to production handover.
Most AI and analytics work fails at the data layer. This practice builds the governed data platform everything else depends on, with Microsoft Fabric as our core implementation technology.
Architecture, environment design, data engineering, migration, governance, CI/CD, semantic modelling and operational handover are delivered as one platform rather than a collection of workspaces.
How we approach it
01
Separate processing from reporting
A runaway job should never take business reporting offline.
02
Branch-defined environments
Dev is authored; UAT and Production are only written into by the release pipeline.
03
A verified Gold layer
Conformed dimensions and documented measures before anything is surfaced to users or agents.
Capabilities
- Microsoft Fabric architecture
- Fabric platform implementation
- Platform assessment
- Migration and data modernization
- Data engineering and integration
- Lakehouse and medallion architecture
- OneLake design
- Power BI and Direct Lake
- Semantic models
- Data governance and security
- CI/CD and Dev / UAT / Production
- Real-time analytics
- AI-ready data platforms
- Fabric AI & Data Agents
- Fabric applications
- Enablement and handover
Tell us what you're trying to build.
Describe the problem, the systems involved and the outcome you need. We will say plainly how we would approach it.