Data Quality

Automated testing, anomaly detection, and data contracts for trustworthy data.

Overview

Data Quality monitors your data assets for freshness, completeness, uniqueness, and custom rules.

Rule Types

Freshness: Data should be updated within X hours
Volume: Row count should be within expected range
Uniqueness: Column should have no duplicates
Custom SQL: Write your own validation queries

Creating a Rule

POST /api/v1/quality/rules
{
  "name": "Orders Freshness",
  "type": "freshness",
  "asset": "warehouse.orders",
  "config": { "maxAge": "4h" }
}

Data Contracts

Define contracts between producers and consumers with guaranteed SLAs.