AWS · Azure · GCP
Cloud data
Move the estate. Keep the meaning.
Migrations, warehouses, lakes and pipelines — planned around the data you cannot afford to lose.
The usual problem
Most cloud programmes stall because the data model was never written down. Schemas drift, duplicates multiply, and the new platform inherits the old mess.
How we approach it
We start with the catalogue: sources, owners, grain, and what ‘correct’ actually means. Then we migrate in slices you can roll back, with tests on the way in — not a weekend cutover and a prayer.
What good looks like
- A platform you can explain to finance and to engineers
- Costs that track usage, not surprise invoices
- A path off the old estate without a hero weekend
Typical work
- Cloud strategy that matches how you actually operate, not a reference architecture from a slide
- Oracle and legacy warehouse migrations to AWS, Azure or GCP
- Data lakes, warehouses and the pipelines between them
- Deduplication, taxonomy and governance so the new platform stays usable
- ITIL-shaped operations and 24/7 run support when you need it
Tell us the problem. We’ll tell you if we can help.
A short conversation is usually enough to know whether this is a two-week discovery or a longer piece of work. No pitch deck.