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Data Warehouse, Lakehouse, Data Fabric & Data Mesh

Data Warehouse, Lakehouse, Data Fabric & Data Mesh Architecture

Warehouse, lakehouse, data fabric or data mesh. There’s no single right answer, only the right fit for your organisation. We design and build the architecture that matches your scale, your teams and your ambitions, on Microsoft Fabric and Azure Databricks.

Microsoft Solutions Partner
Advanced Specialisation
Certified in Microsoft Fabric

About the service

Choosing a data architecture is one of those decisions that’s easy to get wrong and expensive to undo. A centralised warehouse, a flexible lakehouse, a federated data mesh. Each suits a different organisation. We help you cut through the buzzwords and design the pattern that fits how your teams are structured and where you’re heading, then build it properly.

The problems you’re wrestling with

An architecture chosen years ago that no longer fits how the business is organised or how fast it needs to move.

// How we solve it

A pattern designed around your current structure and growth, centralised, federated or somewhere in between.

Central data teams that have become a bottleneck for every request from the business.

// How we solve it

Where it fits, a domain-oriented data mesh that lets teams own and serve their own data with shared governance.

A rigid warehouse that struggles with unstructured data, or a lake so open it’s become a swamp.

// How we solve it

A lakehouse approach that handles structured and unstructured data together, with the reliability of a warehouse.

Endless architecture debate with no clear decision, holding up every downstream project.

// How we solve it

A clear, justified recommendation you can act on, with the trade-offs laid out in plain language.

What you get

  • An architecture that fits

    A pattern matched to your organisation’s structure, scale and growth.

  • Room to scale

    A foundation that grows with your data volumes and use cases instead of needing a rebuild in two years.

  • Faster delivery downstream

    Get the architecture right and every reporting, analytics and AI project on top of it gets easier.

  • Clear ownership

    Well-defined domains and governance so everyone knows who owns what and where the truth lives.

  • A decision you can defend

    A documented rationale for the pattern chosen, so the choice holds up to scrutiny later.

  • Build on an architecture that fits your future.

    Let’s talk

How we deliver

  1. Assess

    We audit your current data landscape, sources and pain points, and pin down the business outcomes that matter, so you start with a clear picture and a prioritised roadmap.

  2. Architecture

    We design the right architecture for where you’re heading, with governance, security and scalability designed in from the outset rather than bolted on later.

  3. Implementation

    We build it iteratively: pipelines, models and integration delivered in stages, so you see working value early instead of waiting for one big launch.

  4. Adoption

    We make it stick: enablement, documentation and hands-on support turn the platform into something your teams use day to day.

// Trusted by

Proof, not promises

All case studies
Dawid Detko, Chief Commercial Officer at Onex Group

Dawid Detko

Chief Commercial Officer

Let’s talk about Data Warehouse, Lakehouse, Data Fabric & Data Mesh.

Book a free consultation: an hour with an architect, no obligation, and a plan you can act on.

Contact us

Explore the rest of
AI-Ready Data Platform

Microsoft Fabric Implementation

We design and implement modern data platforms on Microsoft Fabric, bringing your data, analytics and AI together in one governed environment.

Data Platform Migration & Modernisation

Legacy warehouses are expensive to run, hard to change and increasingly out of step with modern analytics and AI.

Data Integration & Consolidation

Your data lives in dozens of places: core systems, SaaS apps, spreadsheets, external feeds.

Frequently asked questions

Broadly: a warehouse is centralised and structured; a lakehouse combines the flexibility of a data lake with warehouse-style reliability; a data mesh distributes ownership to domain teams under shared governance. Which suits you depends on your structure, scale and skills. We’ll help you decide.

Not necessarily. Many organisations blend patterns, for example a lakehouse foundation with mesh-style domain ownership on top. We design for your reality rather than forcing a textbook model.

Usually, yes. We assess what you have and design a path that reuses what works and modernises what doesn’t, rather than defaulting to a costly rebuild.

Primarily Microsoft Fabric and Azure Databricks, chosen to fit your architecture and existing investments.

Microsoft Solutions Partner

Let’s talk about your project

Our friendly team would love to hear from you. Whether you know exactly what you need or you’re just exploring what’s possible, we’ll give you a straight, practical view.