Microsoft Fabric that delivers from day one .
When Azure and Microsoft 365 are a given, Fabric is the fastest route to reliable numbers: OneLake, Power BI and Copilot in one platform – properly set up by us instead of clicked together.
- 6
- weeks to the first report
- 300+
- data & AI projects
- 1
- platform instead of five tools
- 100 %
- governance from day one
One SaaS platform for data, BI and Copilot
Fabric bundles Data Factory, Lakehouse, Warehouse, Real-Time Intelligence and Power BI in one service. Getting started is quick – the pitfalls are capacity, governance and modelling.
OneLake as the shared storage layer
All workloads work on the same Delta tables. No copies, no exports, no discrepancies between departments.
Power BI built right in
Direct Lake delivers reports in seconds on large models – without nightly import runs or duplicated data.
Fast start without a platform team
No cluster management, no dedicated operations team. You start with the Azure contracts and identities you already have.
Copilot on verified data
Natural language questions work when the semantic model is clean – that is exactly what we tackle first.
What we build for you in Fabric
Fabric is enabled quickly – and gets messy just as quickly. We bring structure to capacities, domains, data models and permissions.
Tenant & capacity design
The ground rules that later decide cost and performance.
- Domains, workspaces and naming conventions
- Capacity sizing, bursting and auto-pause
- Deployment pipelines for dev, test and prod
- Tenant settings and role concept
Data Factory & ingestion
Reliable data flows from your source systems instead of manually maintained exports.
- Connectors for SAP, Dynamics, Salesforce and files
- Mirroring from SQL, Cosmos DB and Snowflake
- Incremental loads with error handling
- Orchestration, monitoring and alerting
Lakehouse & warehouse
A medallion model in OneLake that stays understandable for the business.
- Bronze, silver, gold with clear ownership
- Notebooks and T-SQL sensibly combined
- Data quality checks and historisation
- Documented metrics as a single source of truth
Power BI & self-service
Reports that are fast and that management trusts.
- Direct Lake semantic models instead of import sprawl
- Certified datasets for business teams
- Row-level security and approval processes
- Report design in your corporate identity
Real-time & AI
From event data to Copilot – without leaving the platform.
- Real-Time Intelligence for event and IoT data
- Alerting via Data Activator
- AI skills and Copilot on verified models
- Forecasting and anomaly detection in Fabric
Governance & operations
Purview, cost control and operations that work without heroics.
- Microsoft Purview: catalog, lineage, sensitivity labels
- Capacity monitoring and cost reporting
- Governance rules for self-service workspaces
- Training and enablement for your business teams
Why companies run their Fabric rollout with us
We are a Microsoft partner and guide Fabric rollouts from the capacity decision to a well-established self-service operation.
- We know the Fabric pitfalls: wrongly sized capacities, workspace sprawl and import models that slow Direct Lake down.
- Data engineering and Power BI from one team – model and report are designed together, not one after the other.
- Migration experience from Azure Synapse, SSAS, SSIS and classic SQL data warehouses.
- Enablement instead of dependency: your business teams end up working independently within tested guardrails.
Typical Fabric projects from our practice
From Excel chaos to a management cockpit
Sales, finance and logistics data come together in OneLake; the management dashboard is up to date at seven in the morning.
Month-end close without Excel night shifts
Synapse migration without downtime
Existing pipelines and models move to Fabric step by step, with metrics reconciled in parallel operation.
Migration without a reporting outage
Self-service with guardrails
Certified datasets, a clear workspace structure and training – business teams build their own reports without an IT ticket.
Analyses in hours instead of weeks
From the capacity decision to productive self-service
Assessment & target picture
Sources, licences, reporting landscape and skills in view – including a capacity recommendation and business case.
Tenant setup & governance
Domains, workspaces, permissions, deployment pipelines and Purview integration are production-ready.
First data product live
One domain from source to Direct Lake report – in real operation with real users.
Roll out & enable
More departments, Copilot scenarios and training until you run it yourselves.
Large data volumes, streaming or demanding ML?
Then Databricks is often the more robust choice. We work in both platforms and decide based on your workloads.
Frequently asked questions
Which Fabric capacity do we need?+
It depends on data volume, user count and refresh frequency. We recommend a starting point, measure in operation and adjust – usually you start smaller than the licence calculator suggests.
Is moving from Azure Synapse worth it?+
In most cases yes, because Fabric bundles further development and integration. We migrate step by step, with parallel operation and metric reconciliation instead of a big bang.
Can our business teams build reports themselves?+
That is exactly the goal. We deliver certified datasets, a clear workspace structure and training so self-service doesn't end in sprawl.
Does our data stay in Europe?+
Yes. Capacities and OneLake can run in European regions, and we set up sensitivity labels and Purview policies as standard.
45 minutes of straight talk about your Fabric rollout.
We review your reporting landscape, recommend a capacity and show how the first data product goes live within weeks.
- Result: target picture, capacity recommendation and effort estimate
- An honest view on whether Fabric or Databricks fits better
- Free and non-binding