Big data is not defined by size. It is defined by complexity, velocity and the architectural discipline needed to keep it governed. We design distributed ecosystems that partition high-volume structured and unstructured data, process it in parallel across a cluster and keep control intact, so infrastructure becomes intelligence rather than cost.
As organisations scale, data spreads across systems, drifts in structure and slows to query. We plan the architecture first, distributed storage, parallel processing and governance as one system, so scale is engineered from day one instead of patched together after the silos appear.
Cloud-native lakes and lakehouse architecture with a metadata catalogue and lineage, so storage, compute and governance operate as one system rather than isolated stores.
Frameworks that partition work and run it in parallel across a cluster, supporting batch, streaming and large-scale transformation with horizontal scale built in.
Role-based access, encryption, masking and audit designed into the platform, because scale without governance adds risk rather than value.
Event-driven streams and pipelines that feed operational intelligence and machine learning, so the platform is ready for prediction, not just reporting.
Volume is partitioned, processed in parallel across the node cluster and unified into a governed output, so scale reads as an engineered system rather than a growing pile of storage.
A path from architecture assessment to a governed, distributed platform, so complexity becomes leverage rather than an operational burden.
Data maturity, scalability limits and governance gaps mapped into a roadmap.
PlannedCloud-native lake and lakehouse with catalogue and lineage.
StoredPartitioned, parallel processing and integration across the cluster.
ProcessedAccess, security, streaming and AI-readiness wired in.
GovernedA cloud-native lake and lakehouse with catalogue and lineage.
Partitioned, parallel processing for batch and streaming.
Access control, encryption, masking and audit by design.
Event-driven pipelines feeding real-time and AI workloads.
Including Communicator, Davey, W3 Gold and Silver, Horizon and London Design Awards.
Storage, distributed processing, governance and streaming, delivered by one team.
We design scalable ecosystems, not tools bolted together after the fact.
Scale without architecture is just a bigger mess.
The pipelines that keep the distributed platform fed and reliable.
Explore data engineering →The modelled layer where governed scale becomes trusted reporting.
Explore data warehouse →The governance and ownership that keeps a large estate under control.
Explore data management →