An integration pipeline is a linear sequence of specialized nodes that process and validate inbound and outbound data files, transforming the data into an existing integration framework. The user creates a new pipeline, defines a pipeline inbound or outbound interface and a message queue, then executes the pipeline. The user can also select and execute an existing pipeline and view a pipeline execution history.

Users can view the existing integration and machine learning pipelines from the NEO Plasma Pipelines screen. New inbound and outbound integration pipelines can be created from this screen. (Machine Learning (ML) pipelines can be viewed on this screen, but they are created from the ML Plug Points screen. See the "Bring Your Own Intelligence" section in Online Help for more information.)

The basic workflow to create an inbound integration pipeline:

1. Create an integration pipeline.

2. Create a pipeline interface.

3. Create a message queue.

4. Execute the pipeline.

5. View the pipeline execution history.