Sheet D-01 / Data platforms
We assess, build and manage data platforms on Microsoft Fabric, Databricks or Snowflake: unified data, consistent definitions, governed access and predictable cost, delivered to production standards and handed over to your team.
Teams argue about whose number is right. Access, lineage and definitions are spread across tools. Modernisation stalls because the platform depends on the one person who built it. We bring it onto one governed platform, on the technology that fits your organisation, with definitions the business agrees on, cost under control, and documentation your team can run with.
Durability will be assured when foundations are carried down to the solid ground.
An independent review of your current platform, whatever it runs on: architecture, data quality, governance, cost, and continuity risk. You receive a prioritised roadmap, a clear view of what to fix first, and a business case for the work, including whether to stay, consolidate or migrate.
A lakehouse or warehouse on Microsoft Fabric, Databricks or Snowflake, with a medallion pattern, pipelines from every source, a semantic layer that keeps definitions consistent, and reporting on top. Migration from legacy warehouses or on-premises systems with validated parity. Built to production standards and documented for your team.
Monitoring, capacity and cost management, upgrades as your platform evolves, and a second line of expertise behind your own team. The platform keeps running, costs stay predictable, and it never depends on a single person again.
Ingest and store your data once, in one governed lakehouse or warehouse, with lineage back to every source and the governance to control who sees what.
One governed definition of every metric that matters, tested and documented, so every report in the business agrees.
Fast, consistent reports in Power BI or the tool your teams already use, built last because the layers beneath them are right.
Every platform starts with a documented architecture and one set of governed definitions, not with a dashboard. Consistent numbers across the business follow from that.
Capacity planning and cost governance are part of every build and every managed service, so performance stays strong and the cloud bill never surprises you, on Fabric, Databricks or Snowflake alike.
Documentation, training and hand-over come with every engagement, so the platform outlasts any one employee or supplier, datalyft included.
Microsoft Fabric · Databricks · Snowflake · dbt · Power BI · SQL
A 30-minute conversation about your data estate: where it stands, which platform fits, and what a sensible first step looks like. No obligation.