Data modelling design review
Review of data models, storage choices, indexing, and data flows — delivered as a whitepaper with concrete schema and indexing recommendations.
What we build
A focused review of how your data is structured and stored — schemas, indexes, relationships, and how information moves through the system. The usual triggers are slowing queries, fast-growing data, or a planned migration. Delivered as a whitepaper with concrete schema and indexing recommendations. If the plan is to move the data somewhere new, the data migration service does the move itself.
What you get
- A data-modelling review whitepaper covering the schema, query patterns and growth risks
- A schema-change recommendation list naming each proposed change
- An index recommendation list naming the query each index serves
How the work unfolds
- Review the data model and query patterns
- Assess indexes, constraints and access patterns
- Design retention and lifecycle policies
- Write the data-modelling whitepaper
What shapes the price
Before you see a number, our scoping conversation asks:
- Do you have data-retention or deletion obligations we should design policies for? Retention and lifecycle policy design is separate work most schema reviews skip.
How an engagement starts
Teams often combine it with: