Analytics · Microsoft Data Platform

Raw to ready.
Insights on tap.

Enterprise-grade analytics, deployed in days. Our Azure data platform blueprints weave security, governance, cost control and DevOps into every layer, so your teams turn data into outcomes instead of wrestling with infrastructure.

Azure Data FactoryDelta LakeAzure DatabricksMicrosoft FabricPower BIMicrosoft Purview
Why an Azure data platform

Four reasons it holds up

Unified governance

Inherits policy, role-based access and networking from your Azure landing zone, so nothing is secured twice or not at all.

Scales with your business

Elastic, serverless and pay-as-you-go services keep costs predictable as volumes grow.

Cloud-native engineering

Infrastructure as code, CI/CD and Git-based workflows bake quality and repeatability into every release.

Open and interoperable

A lakehouse on Delta and Parquet keeps your data in open formats and you clear of vendor lock-in.

The four core pillars

Ingest, store, transform, visualise

Every platform we build has the same four layers. The services in each depend on the blueprint, but the shape, and the governance around it, stays the same.

  1. Ingest and orchestrate

    Every source, on a schedule or as it streams

    • Azure Data Factory
    • Fabric Dataflows
    • Event Hubs
  2. Store and govern

    Raw and curated data in an open format, with fine-grained access control

    • Azure Data Lake Storage Gen2
    • Delta Lake
    • Microsoft Purview
  3. Transform and process

    Cleanse, enrich and model data at any scale, batch or real time

    • Azure Databricks
    • Fabric Lakehouse
    • Spark
  4. Visualise and act

    Interactive dashboards, self-service analytics and embedded metrics

    • Power BI
    • Microsoft Fabric
    • Fabric Eventhouse

Inherited from your landing zone, in every layer

  • Azure Policy
  • Role-based access
  • Private networking
  • CI/CD pipelines
  • Cost controls
Data moves left to right through open formats; the controls underneath come from the landing zone, not from each service.
Two blueprints, one outcome

Lakehouse at scale, or Fabric all-in-one

Both end in actionable insight on a governed, future-proof platform. Which one fits depends on the size of your estate and who will run it.

Databricks lakehouse

Enterprise scale, limitless flexibility.

Best for

Global or multi-domain data estates that need high-throughput processing, open-format storage and advanced machine learning.

  • VNet-injected workspaces and private endpoints
  • Lakeflow declarative pipelines, serverless compute and a bronze-silver-gold lakehouse governed by Unity Catalog
  • Promotion through DEV, TEST and PROD with infrastructure as code and Databricks Asset Bundles in Azure DevOps

Fabric all-in-one

SME and departmental analytics in a single pane.

Best for

SMEs or business units that want self-service BI, ELT and visualisation without juggling separate services.

  • OneLake storage with Direct Lake performance and no data copies
  • Storage, data engineering and analytics in one platform alongside Power BI
  • Promotion through DEV, TEST and PROD with Fabric deployment pipelines and Git integration
Next step

Start with the foundation

A free 30-minute data landing zone workshop: your sources, your skills and which blueprint fits.