What are Dataflows?
Connect to a Source
Connect to a Destination
Transform and Map your Data
Dataflows allow you to send data from a Source Connector to and Destination Connector. You can also cleanup and restructure the data before it is sent to the Destination Connector using training examples, column mapping, and formulas. Dataflows can be set up on a recurring schedule or manually triggered to run at any time.
The first step in creating a Dataflow is selecting the Source Connector for that Dataflow. This Connector provides access to the source data for this Dataflow.
Check out the Source Connector page for more information.
The second step in creating a Dataflow is selecting the Destination Connector for the Dataflow. This Connector provides access to the system you want to send the source data to.
Check out the Destination Connector page for more information.
After selecting the Source and Destination Connectors for a Dataflow, the next step is to transform the source data into a format that aligns with the Destination Connector's schema. You can cleanup and restructure the data using training examples, column mapping, and formulas.
Check out the Transformation step for more information.
After completing the transformation step, you will be taken to the Dataflow Rules page where you can set the rules. Currently, we only support one business rule, which allows you to set a schedule for the Dataflow, but more rules (such as PII detection, language translation and more) will be available soon.
Check out the Rules step for more information.
Continue to the next page to get started with creating a Dataflow!