Integrating Snowflake and Soda makes it easy for organizations to detect, resolve, and prevent data quality issues by running data quality checks on data wherever it lives. Leverage the power of automated monitoring and anomaly detection to manage data quality across the stack and catch bad data before it has a downstream impact. Create incidents to track, manage, and resolve issues early so that every user can use and share reliable, trustworthy data.

Integrate Soda with Snowflake to:

• Implement SLAs that define quality expectations to ensure that data is fit-for-purpose
• Detect, analyze, and resolve data issues at the dataset- or record-level
• Reduce the risk and cost of migrating data from source and prevent data downtime