Data Contracts

Define and enforce explicit data contracts between data producers and consumers to improve reliability and reduce breaking changes. Use when multiple teams share datasets, pipelines, or analytical tables.

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Data Contracts

Overview

Data contracts make the expectations between data producers and consumers explicit, testable, and enforceable — similar to API contracts but for data.

When to Use

  • Multiple teams depend on shared tables, streams, or files
  • Breaking changes in data are causing downstream failures
  • Moving toward a more product-oriented data culture

Key Elements of a Contract

  • Schema and types
  • Ownership and SLAs (freshness, quality)
  • Compatibility / change policy
  • Quality checks and monitoring
  • Semantics and business meaning of fields

Principles

  • Treat important datasets as products with interfaces
  • Prefer explicit contracts over tribal knowledge
  • Enforce contracts with tests and monitoring, not just documentation

Verification

  • Consumers can rely on documented guarantees
  • Breaking changes follow a defined process
  • Quality and freshness are monitored against the contract

itsual/agent-skills-collection/tree/main/skills/engineering/data-contracts commit b8dd8b034b

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