Catch bad data before it breaks your pipelines.
What it does
Guides creation of validation suites, data tests, and contracts that check the reliability of data pipelines.
When to use it
Use when adding pipeline quality checks, configuring validation, building dbt tests, establishing data contracts, monitoring quality, or automating validation in CI/CD.
How to use it
Give it a data-quality implementation request in a project; it helps build validation suites, tests, contracts, and pipeline checks.
What you provide
- An existing project
Uses
Good to know
- cannot be undone: Slack
What you need · 3
The quick-start validation code runs in Python; no runtime version is specified.
The illustrated automated validation pipeline requires a configured warehouse datasource containing the tables to validate.
Access · 3
This skill
Slack
Sends failure notifications to Slack (irreversible)
warehouse
Reads warehouse tables for validation