Amazon AppFlow supports new options for schedule triggered flows
Amazon AppFlow, a fully managed integration service that enables customers to securely transfer data between AWS services and cloud applications, now allows you to select additional time-stamp fields as the criteria for determining incremental data in schedule triggered flows. In a given flow run, AppFlow supports the ability to transfer only records that have changed since the previous successful flow run. Previously, the criteria for determining if a record has changed was not configurable. Now, you can choose any suitable source field, such as created date and modified date, as the criteria for determining which records have changed.
Amazon AppFlow, a fully managed integration service that enables customers to securely transfer data between AWS services and cloud applications, now allows you to select additional time-stamp fields as the criteria for determining incremental data in schedule triggered flows. In a given flow run, AppFlow supports the ability to transfer only records that have changed since the previous successful flow run. Previously, the criteria for determining if a record has changed was not configurable. Now, you can choose any suitable source field, such as created date and modified date, as the criteria for determining which records have changed.
The new capability provides additional options for transferring data using AppFlow, enabling you to leverage data in new ways to improve business productivity and drive innovation. Look for the option of selecting a time-stamp parameter when setting up a flow to be triggered on a schedule. To learn more, visit our documentation page.