Documents
An application document model.
Collections shaped around the information the product needs to store and retrieve.
- Collection and document structures
- Validation and relationship decisions
Databases
MongoDB. Shape documents around how the application works.
Document-oriented data models for evolving applications.
Discuss Your Project
- Model document data
- Build data workflows
- Operate the database
What are you planning?
A document structure with a clear purpose.
Choose document boundaries and validation around the application's read and update patterns.
How we approach it
- Map access patterns and entities
- Choose embedded or referenced data
- Define validation and ownership
Queries and aggregations around useful outcomes.
Connect application queries and aggregation pipelines to the information users need.
How we approach it
- Define queries and aggregations
- Review indexes and query behaviour
- Validate representative workloads
Data evolution with operational checks.
Plan schema changes, access and recovery responsibilities as the application evolves.
How we approach it
- Review access and deployment needs
- Plan data changes and backups
- Test recovery and monitoring
What we deliver
How we use MongoDB.
Queries
Document access and integration.
Application queries and data interfaces matched to the agreed workflows.
- Query and index definitions
- Application service integration
Evolution
A plan for changing data structures.
A documented approach to adapting the data model as requirements evolve.
- Data change scripts or procedures
- Compatibility and validation notes
Let’s discuss your MongoDB requirements.
Share your challenge, idea or existing system. We will help you explore a clear next step.
WHAT HAPPENS NEXT
Once you submit your inquiry, we will review it, understand your goals and arrange a conversation with the right team.
Prefer email?
ctsales@crecientech.com