Data & SQL
A stronger foundation for your information.
Design useful data structures, controlled transformations and validation rules that support the application around them.
Clear data structures make the rest of the system easier to reason about.
Work through the relationships, business rules and update paths before adding more screens. The aim is understandable operational data, not another disconnected copy of the same information.
What the work can include
Relational data and schema design
Queries and controlled transformation logic
Data validation and reconciliation rules
Reporting-ready operational datasets
A practical approach
- 01
Understand the data and the decisions it needs to support.
- 02
Review structure, relationships and update behaviour.
- 03
Build and test the required queries or transformations.
- 04
Document assumptions, constraints and validation evidence.
Database administration, round-the-clock monitoring and enterprise analytics are not assumed inclusions. Each engagement has an agreed boundary.
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