Microsoft Fabric consulting
Fabric puts data integration, engineering, warehousing, real-time analytics and Power BI on one platform, over one copy of your data in OneLake. We help you decide how to use it, build it properly and train your team to run it.
What Microsoft Fabric is
Microsoft Fabric is Microsoft’s software-as-a-service analytics platform. It brings the tools a data team usually stitches together (data integration, data engineering, data warehousing, data science, real-time analytics and Power BI) into one product, with one security model and one capacity-based licence.
Underneath every workload sits OneLake, a single data lake for the whole organization. Data lands once and is used many times, instead of being copied between a lake, a warehouse and a reporting model.
For organizations already on Azure and Power BI, Fabric is often the shortest path to a modern lakehouse. It is also a significant architectural decision: capacity, workspace design and governance decide whether it pays off.
What we do on Fabric
Several kinds of work, usually in combination, always tied to the decisions the platform has to support.
Data integration
Pipelines and Dataflow Gen2 that bring your source systems into OneLake on a schedule, with the monitoring to tell you when something breaks.
AI readiness
Clean semantic models, clear naming and sound governance, so Copilot and the AI features in Fabric and Power BI give answers you can trust.
Power BI on Fabric
Semantic models and reports built on Fabric, including Direct Lake where it fits, so reports read OneLake data without heavy imports.
Data science
Notebooks and machine learning in Fabric’s data science experience, working from the same governed data as your reporting.
Architecture and capacity
Workspace layout, lakehouse design and capacity sizing, settled before the first pipeline is built.
Training and handover
Hands-on training for the people who will run and extend the platform after we step back.
The features we design around
Three parts of Fabric shape most of our architecture decisions.
- OneLake
- One logical lake for the organization. Shortcuts reference data in other storage, including Azure Data Lake Storage, without copying it, so there is one copy to govern.
- OneLake security
- Access rules defined on the data in OneLake and respected by the engines that read it, so security is set once rather than tool by tool.
- Serverless compute
- Fabric’s engines draw compute from a shared capacity on demand. There is no cluster to size or keep running for each workload, and capacity can grow as use grows.
How to get started
Most Fabric engagements start the same low-risk way.
Take the free workshop
A virtual session of 30 minutes to an hour with one of our Fabric experts to understand your infrastructure, challenges and goals.
Map Fabric to your goals
We map Fabric components to the problems you actually have and point out the opportunities worth doing first.
Build, then hand over
We build the first workloads alongside your team, then train them to run and extend the platform.
Experience behind the advice
Fabric is new. The Microsoft data platform under it is not, and our work on it includes:
Healthcare
Leading one of the largest Azure deployments in the country
Healthcare
Power BI dashboards used by thousands of people
Public sector
Enterprise information management for a large government agency
Start with the free Fabric workshop
Thirty minutes to an hour, virtual, at no cost. You leave with a clear view of where Fabric fits and where it does not.