Data Contracts and SLOs for Reliable Analytics
Make data trustworthy with schema tests, freshness SLOs, and incident response.
Quality as a Product
Embed validation rules and quality checks directly in data pipelines, and expose reliability metrics as part of product dashboards to enable transparency across teams.
Defining Data Contracts
Data Contracts are formal agreements between data producers and consumers that specify schema, semantic meaning, quality expectations and usage constraints
They act as API‑like contracts for data pipelines, ensuring that downstream systems can trust the structure and quality of incoming data without ambiguity .
Leveraging SLOs for Data Reliability
Service Level Objectives (SLOs) define measurable targets for data delivery—such as freshness, completeness, or accuracy—and serve as guardrails for data reliability.
They provide a buffer before SLA violations occur, allowing data teams to react proactively when a target is trending toward breach.
Designing for Trust and Speed
By combining Data Contracts with SLOs, analytics pipelines become both trustworthy and fast. Contracts enforce upstream data correctness, while SLOs maintain performance expectations.
This approach ensures fewer incidents, faster delivery cycles, and trust across data consumers and producers.
