Data Quality Framework

Demo

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---
name: Data Quality Framework
description: Design and monitor data quality across completeness, validity, consistency, and timeliness.
---

# Data Quality Framework

Build systematic data quality checks and monitoring so problems are caught before they reach consumers.

## The six dimensions

1. Completeness: required fields are populated; expected rows arrive.
2. Validity: values conform to types, ranges, and formats.
3. Consistency: values agree across tables and over time.
4. Uniqueness: keys are not duplicated.
5. Timeliness: data lands within the expected SLA.
6. Accuracy: values reflect the real-world entity (hardest to test automatically).

## Implement tests in dbt

dbt provides generic tests in schema YAML:

```yaml
models:
  - name: orders… install to load the full skill