One tenant, one lake, every workload.
Fabric is Microsoft's unified analytics platform, delivered as a service. Instead of assembling separate services for ingestion, storage, transformation and reporting, every workload runs on one tenant, one capacity model and one storage layer — OneLake, in open Delta Parquet, with shortcuts that reference data where it already lives instead of copying it.
Every workload writes to the same OneLake, so governance and Copilot apply once instead of per tool. We add dbt as the transformation layer where SQL is the team's language, and Spark notebooks where it is not.
Two things most Fabric projects get wrong.
What clean, contextual and controlled data means in practice, why bigger models do not fix messy data, and how the three properties map onto Fabric.
Read on →The four steps from human-only pipelines to agent-operated builds, what it changes for each role, and the guardrails that keep generated code accountable.
Read on →We've done this before.
Higher education, healthcare logistics, wholesale, insurance, facility supply and retail. Each one started from a business case.
See the cases → EventsHands-on workshops with Microsoft, and conference talks by the people who design, build and run these platforms.
See what is on → BlogOur engineers write up what they hit in practice, from architecture decisions to the details that only surface in production.
Read the blog →Tell us where your data is stuck.
A first conversation is usually one hour: your landscape, the use cases on your list, and an honest read on what Fabric would and would not solve.
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