Cloud Data Platform & Warehouse Build for UK Businesses
We architect cloud data platforms and warehouses that create reliable, scalable foundations for enterprise analytics and AI.
Data Pipeline
Sources
Platform
Data Warehouse
OneLake · Azure SQL
Governed · Documented
What we build
From data integration to governance, we deliver every layer of a modern data platform.
Data Warehouse Design
We design and implement modern data warehouses using star schemas and best practices for performance and maintainability.
Cloud Data Platforms
Azure, Microsoft Fabric, Databricks - we build, configure and integrate cost-effective cloud data platforms tailored to your business.
Data Integration & Pipelines
Automated ETL/ELT pipelines bringing data from multiple source systems into a single, governed environment.
Data Governance
Data cataloguing, lineage, classification, lineage monitoring and access control built into the platform from day one.
Semantic Modelling
Business-friendly data models that translate raw technical schemas into terms and measures the business understands.
Migration & Modernisation
We plan and execute migrations with minimal disruption, whether from on-prem, legacy warehouse, or another cloud environment.
Methodology
Technologies we work with
- Microsoft Azure (Data Factory, Synapse, SQL)
- Microsoft Fabric (Lakehouse, Warehouse, Dataflows)
- Databricks (Unity Catalog, Delta Lake, MLFlow)
- Power BI (Semantic Models, Dataflows, Paginated Reports)
When you need this
- Your analytics platform has no proper data foundation
- Reports are slow, inconsistent or unreliable
- You need to unify data from multiple ERP/CRM systems
- You're preparing your data estate for AI and machine learning
Common questions
Data platform questions
What is a cloud data platform?
A cloud data platform is the centralised layer that collects, transforms, stores and serves data across your organisation. In a Microsoft context this is typically Microsoft Fabric - covering data pipelines, a lakehouse or warehouse, OneLake storage and Power BI reporting - all governed and maintained as one coherent environment rather than a collection of disconnected tools.
Do we need a data warehouse or a lakehouse?
For most mid-market businesses, a Fabric lakehouse is the right starting point. It handles structured and semi-structured data, integrates directly with Power BI via Direct Lake, and scales without the licensing overhead of a dedicated warehouse. A Fabric Data Warehouse is the better choice when your primary workload is SQL-based analytics with complex joins and strict schema enforcement. We assess this in the Establish phase before committing to an architecture.
How long does a data platform build take?
A foundational Fabric lakehouse or warehouse build - pipelines, governance, semantic model and Power BI integration - typically takes ten to sixteen weeks. That is preceded by a four-week Establish phase that defines the architecture and scope precisely. Migrations from Synapse or legacy on-prem warehouses add time depending on the complexity of the existing estate.
Can you migrate our existing Azure Synapse to Fabric?
Yes. Synapse Workspaces and Pipelines map to Fabric workspaces and Fabric Data Factory. Synapse Dedicated SQL Pools map to Fabric Data Warehouse. Synapse Spark Pools map to Fabric Data Engineering. We approach migrations incrementally - components move one at a time aligned to natural business cycles, rather than as a single forklift project.
What data sources can you connect?
Any source that exposes data via API, database connection, file export or streaming. The most common in mid-market engagements are Microsoft Dynamics 365 Business Central, Salesforce, NetSuite, SQL Server, SharePoint, and operational databases. Azure Data Factory and Fabric Data Factory both support hundreds of connectors, and custom integrations are straightforward for sources that publish an API.
Also explore
Microsoft Fabric
Our preferred platform for modern data architecture - lakehouse, warehouse and pipelines unified.
ServiceAnalytics Acceleration Programme
The structured programme that governs how we build and maintain your data platform.
AIAI-Ready Data Foundations
How a well-built data platform becomes the foundation for trustworthy AI and Copilot.
Get started
Need a data platform that scales?
Let’s discuss your data architecture. We’ll recommend the right approach for your organisation.