📄️ Data Model Overview
Qarion organizes data governance around a set of interconnected entities. Understanding these entities and their relationships is essential for working with the API effectively, since every endpoint you call operates on one or more of these objects.
📄️ Governance Model
Qarion's approach to data governance is built around a layered role system that assigns clear responsibilities at every level — from the platform as a whole, down to individual data products. This page explains each layer, how roles interact, and how to manage governance assignments through the API.
📄️ Quality Framework
Qarion's quality framework provides automated monitoring of data health through configurable checks that run on a schedule, detect problems, and surface alerts when something goes wrong. This page explains the quality dimensions the platform measures, the check types available, how severity and scheduling work, and how quality integrates with the broader governance model.
📄️ Lineage & Impact
Data lineage is the ability to trace how data flows between products — from raw sources through transformations to final outputs. In Qarion, lineage relationships are first-class entities that you can define manually, import automatically from tools like dbt, or manage programmatically through the API.
📄️ DQ Config (YAML)
Qarion supports configuration-driven data quality through YAML files. Rather than creating checks one-by-one through the UI or API, you define all your quality rules in a single version-controlled file, then use the CLI or SDK to sync them to the platform and execute them.