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.
September 15 | 1 p.m. EST
In this one-hour technical demonstration, Passerelle data engineers will showcase three Data Rocket components that support end-to-end data governance, provide automated data quality profiling, and monitor Snowflake user activity, volumetric stats and consumption data with prebuilt Snowflake Dashboards.
This demo is ideal for technical users, organizations with a Talend + Snowflake footprint (or Talend + Snowflake curious), and fans of smart engineers building practical solutions.