Snowflake Data Quality Studio
Overview: Monitor the quality of your Snowflake assets in Atlan using Snowflake's native data metric functions. This integration lets you create rules, track metrics, and view data quality insights directly within Atlan's discovery, lineage, and data products.
Get started
Follow these steps to set up Snowflake as your data quality studio:
Guides
- Upgrade Snowflake Data Quality Setup: Update existing Snowflake data quality integration to the latest version.
References
- Rule types and failed rows validations: Reference guide for all available rule types and how failed rows validation works
- Compute and cost tracking: How DQS uses compute resources, how to track spend, and how to optimize costs for Snowflake and Databricks.
- Operations: Technical reference for data quality operations between Atlan and Snowflake.
FAQ
- Roles and permissions: Common questions about data quality roles and permissions.