Hands-on Fabric delivery, not slideware: capacity provisioned, OneLake and Lakehouse built, pipelines running from your source systems, Direct Lake semantic models serving Power BI, and governance configured before go-live.
The same disciplined framework behind our enterprise migrations: documented, validated, and led by senior expertise from start to finish.
Inventory every report, data source, and dependency. Usage analysis identifies what actually matters.
Retire duplicates and unused reports. Typically 30 to 50 percent never need migrating.
Rebuild on Power BI and Fabric with governed semantic models and validated outputs.
Workspaces, row-level security, certified datasets, and documented standards.
Training and handover so your team owns the platform, not a vendor.
A free 30-minute discovery call: bring your questions about microsoft fabric implementation, leave with a clear next step and an honest read on effort and cost.
Consulting is the thinking: architecture, capacity planning, and roadmap. Implementation is the doing: we provision, build, and ship the platform. Most clients do a short architecture phase first, then move straight into this delivery.
A focused first release (capacity, Lakehouse foundation, one pipeline set, one Direct Lake model, priority reports) typically ships in 4 to 8 weeks. Further domains repeat the pattern on the standards laid down in release one.
Yes, that is the normal case: existing workspaces keep running while the Fabric foundation goes in underneath, and models migrate to Direct Lake domain by domain with validation at each step.
Source system access, an Azure tenant with permission to provision capacity, and a named product owner. Everything else, including governance defaults, we bring.
Tell us what you are working with. A senior specialist will respond within one business day.