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Azure, Data and Security

Microsoft Fabric

Unified data platform with medallion architecture, shared semantic models and capacity governance.

Technologies

  • Microsoft Fabric
  • Power BI
  • Azure Data Factory
  • Microsoft Purview

Consolidating storage does not by itself produce agreed numbers. Shared definitions, named owners and a change process for measures are what stop reconciliation meetings, on any platform.

Business outcomes

One agreed set of numbers

Core measures defined once with named business owners.

Traceable figures

Lineage from any published figure back to source.

Predictable capacity

Allocation and throttling governed before month-end contention.

Capabilities

Lakehouse architecture

Bronze, silver and gold layers with conformed dimensions.

Data engineering

Pipelines, incremental loads and quality checks.

Semantic modelling

Shared models with row-level security and certification.

Capacity governance

Workspace policy, allocation and monitoring.

How we deliver it

  1. Assess

    Estate discovery, dependency mapping, criticality and readiness.

  2. Design

    Landing zone, network, identity, policy, cost model and operating cadence.

  3. Build

    Infrastructure as code with policy applied from the first deployment.

  4. Migrate

    Waves sequenced by risk, each rehearsed with a rollback path.

  5. Operate

    Monitoring, cost review, compliance reporting and a platform backlog.

Next step

Considering Microsoft Fabric?

We will give you an honest view of the effort involved, the prerequisites and the risks, before anyone signs anything.

Talk to an expert Solutions