| id | SKL-data-DATACONTRACTS |
| name | Data Contracts |
| description | A Data Contract is a formal agreement between a data producer (e.g., a microservice) and a data consumer (e.g., a data platform) that defines the structure, semantics, and quality of data being shared |
| version | 1.0.0 |
| status | active |
| owner | @cerebra-team |
| last_updated | 2026-02-22 |
| category | Backend |
| tags | ["api","backend","server","database"] |
| stack | ["Python","Node.js","REST API","GraphQL"] |
| difficulty | Intermediate |
Data Contracts
Skill Profile
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Overview
A Data Contract is a formal agreement between a data producer (e.g., a microservice) and a data consumer (e.g., a data platform) that defines the structure, semantics, and quality of data being shared. It acts as a "service-level agreement" (SLA) for data.
Core Principle: "Data should be treated as a product, and products need specifications."
Why This Matters
- Stability: Contract ensures stable data interfaces
- Quality: Schema validation prevents data quality issues
- Accountability: Contract violations are tracked and addressed
- Efficiency: Clear specifications reduce development time
- Security: Contract terms protect sensitive data
Core Concepts & Rules
1. Core Principles
- Follow established patterns and conventions
- Maintain consistency across codebase
- Document decisions and trade-offs
2. Implementation Guidelines
- Start with the simplest viable solution
- Iterate based on feedback and requirements
- Test thoroughly before deployment
Inputs / Outputs / Contracts
- Inputs:
- Schema definitions
- Data events and messages
- Quality requirements
- SLA definitions
- Entry Conditions:
- Schema is defined
- Validation rules are established
- Monitoring is configured
- Outputs:
- Validated events
- Contract violations
- Quality reports
- SLA compliance data
- Artifacts Required (Deliverables):
