Logical & physical data modelling
Assessment, recommendations and hands-on implementation can be combined based on your team and change process.
Design databases from ground zero or refactor existing platforms with clear choices around schema, integrity, concurrency, scale, availability and operability.
We shape the work around your environment instead of forcing a fixed package. These are the areas that commonly matter for Database Design & Architecture.
Assessment, recommendations and hands-on implementation can be combined based on your team and change process.
Assessment, recommendations and hands-on implementation can be combined based on your team and change process.
Assessment, recommendations and hands-on implementation can be combined based on your team and change process.
Assessment, recommendations and hands-on implementation can be combined based on your team and change process.
Database work is rarely isolated. Application behaviour, infrastructure, change windows, recovery objectives and team ownership all matter. We make those dependencies explicit.
How Data Premise worksInventory, workload, symptoms, architecture, constraints and business impact.
Separate urgent production risk from optimization and longer-term architecture work.
Use change plans, validation checkpoints, rollback paths and clear ownership.
Document the result so your team can run, verify and support the environment afterwards.
New platforms, major application rewrites, legacy redesigns, and systems where data architecture has become a scaling or reliability constraint.
A database design that matches real workload behavior
Fewer expensive architectural corrections later
Clear standards for developers and operators
Share what you know. We can start with a focused technical conversation and define the right level of help from there.
From a production incident to a long-term managed service, we start with the actual workload, constraints and recovery requirements.