Data Warehouse
Warehouse and relational databases that serve governed data to reports and applications.
A warehouse is a modelled serving layer, not a copy of every source table. We design the facts, dimensions, and load patterns, then implement them on Synapse Dedicated SQL Pool, Fabric Warehouse, Azure SQL, or SQL Managed Instance.
The choice depends on data volume, whether you need massively parallel processing, and how close the workload is to existing SQL Server. We document that choice before the first table is built.
How We Work
- 1
Discovery & assessment
- 2
Architecture design
- 3
Build & migrate
- 4
Test & go-live
- 5
Support & optimise
Talk to us about Data Warehouse
Tell us what you run today and what the first release needs to do. We will reply within one working day.
Common questions
Warehouse and relational databases that serve governed data to reports and applications. A warehouse is a modelled serving layer, not a copy of every source table. We design the facts, dimensions, and load patterns, then implement them on Synapse Dedicated SQL Pool, Fabric Warehouse, Azure SQL, or SQL Managed Instance.
We deliver Synapse Dedicated SQL Pool, Microsoft Fabric Warehouse, Azure SQL Database, Azure SQL Managed Instance. The engagement uses the options that fit your requirements and the team you already have.
We start with discovery and a written design, then build in a development environment, test against your data, and go live with a runbook. Support after go-live is agreed in the same plan.
The choice depends on data volume, whether you need massively parallel processing, and how close the workload is to existing SQL Server. We document that choice before the first table is built.
Access to the Azure subscription, a named owner on your side, and a sample of the data or the jobs you want moved. We can work from a fixed scope or as a dedicated team.
