The DuckDB and Soda integration makes it easy for organizations to detect, resolve, and prevent data quality issues by running data quality checks on data for analytical query workloads for machine learning pipelines. 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 DuckDB 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