Integrating Trino 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. This integration is an open-source contribution from Scott Fought, Lead Product Manager, Data Science & Engineering at The Walt Disney Company.

Integrate Soda with Trino to:

• Test, validate, profile, and monitor data as code to ensure that it is, and remains, fit-for-purpose
• Detect and resolve data issues at the dataset- or record-level
• Reduce the risk and cost of ingesting data from multiple sources