AWSData ModernisationData Modernisation · Lakehouse on AWS

Modernise your data on an AWS lakehouse.

We move you off brittle pipelines and warehouses onto a governed lakehouse built from AWS managed services — one foundation that serves BI, analytics and AI, with nothing to babysit.

Explore our AWS practice
Managed services, not servers·Open table formats·AI-ready by design

Ingest → insight

One governed flow, serverless end to end.

Source

Apps · DBs · streams

Bronze

Raw landing on S3

Gold

Serving & BI

AI

RAG & ML features

Lakehouse architecture

Five layers, all serverless, all governed.

A medallion lakehouse on S3 with open table formats — the warehouse's structure with the lake's flexibility, and none of the cluster babysitting.

Ingest

Capture everything, batch & streaming

CDC from databases, events from apps, files from anywhere — landed reliably.

DMSKinesisGlue
Bronze

Raw, immutable landing

Source-of-truth raw data on S3 in open formats, cheaply retained and replayable.

S3Iceberg
Silver

Cleaned & conformed

Validated, de-duplicated, modelled data ready for the business — serverless transforms.

GlueEMR Serverless
Gold

Serving & analytics

Curated marts queried directly or loaded to the warehouse for sub-second BI.

RedshiftAthenaQuickSight
AI

Features, RAG & ML

The same governed data feeds models and retrieval — data and AI as one system.

SageMakerBedrock
Managed services, not managed servers

The platform runs itself, so we run your roadmap.

  • Serverless & scale-to-zero — pay for what you query, not idle clusters.
  • Open table formats (Iceberg) — no lock-in, time-travel and ACID on the lake.
  • Governance built in — catalogued, classified and access-controlled with Lake Formation.
  • AI-ready foundation — the same data powers analytics and GenAI, no second copy.
  • Operated for the long term — we monitor cost, quality and reliability past go-live.

Governance & security

Every layer is catalogued and access-controlled, with lineage from source to dashboard.

Lake Formation Glue Catalog Lineage Fine-grained access Encryption (KMS)
How we modernise · POC → PROD → support

From legacy pipelines to a living lakehouse.

01

Assess & prove

We map your sources and prove the pattern on one real domain — a working slice in weeks.

02

Build the foundation

Landing zone, lake, catalog and governance stood up Well-Architected and as code.

03

Migrate & modernise

Domain by domain, we move pipelines and reports onto the lakehouse — validated at each step.

04

Govern, serve & operate

We hand you trusted data products and keep operating the platform as a long-term partner.

2wk

To first slice

A working domain, proven fast.

5

Lakehouse layers

Ingest → AI, all serverless.

0

Clusters to babysit

Managed services only.

1

Foundation

Serves BI & AI alike.

Next step

Prove a lakehouse on one of your domains — in weeks.

Start with the AI & data readiness assessment; we'll scope a first slice and a path from legacy to a governed AWS lakehouse.

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