Being able to access all your organization’s data in the Snowflake Data Cloud fuels data consumption and decision-making, but only as long as your Data Cloud can keep up with changes to source system data.
In this 3-minute video, Passerelle engineer Guillaume D. walks through how Data Rocket saves maintenance time and headache by dynamically adjusting target tables in the Snowflake Staging Layer when changes are made to the source systems table structure.
The Dynamic Ingestion Framework is only one small component of Data Rocket. Ready to learn more? Request a complimentary consultation now.