Full lifecycle data platform engineering — from cloud landing zones through to Cloudera CDP and Hadoop estates. We build the infrastructure other services sit on, and we keep it stable once it's live.
Discuss Your ProjectBig data platforms rarely fail because of the core technology. They fail because of the detail underneath it — Linux kernel misconfigurations, metastore deadlocks, incomplete Kerberos integration, or a cloud architecture that was never designed to scale past the pilot. We've spent years in exactly that layer of detail.
Cloudera CDP and Hadoop deployments engineered for high availability, not just a working demo.
AWS and Azure data platforms designed to scale with your data volumes, not against them.
Version upgrades and platform migrations planned around zero disruption to production.
Apache Ranger and Kerberos policies configured properly from day one, not left on vendor defaults.
Storage and compute sized against real data growth, not a guess made at kickoff.
Repeatable, version-controlled platform changes instead of manual one-off deployments.
No black box. You know what's happening at every stage of a big data & cloud engagement.
We look at what's actually in place today before recommending anything — no assumptions.
A scoped plan built around your systems and constraints, agreed before any build work starts.
Delivered in stages you can see progress on, not a single black-box handover at the end.
We stay involved after go-live — the team that built it is the team that supports it.
Tell us where your data stands today, and we'll tell you honestly what it would take to get it where you need it.
Tell us a little about your project and we'll come back with an honest view of what it would take.