Data Hub Stages
Data Hub stages encapsulate Data Hub operations in dataflows. Dataflows are created in Enterprise Designer and executed with the Job Executor or Process Flow Executor client tools. These stages may also be incorporate in service dataflows, which can be accessed as web services or using the Spectrum™ Technology Platform API. For more information, see the Data Flow Designer Guide, which you can access on the Enterprise Designer Help menu.
Stage | Description |
---|---|
Delete from Hub |
The Delete from Hub stage deletes entities and relationships from a model. |
Import to Hub |
The Import to Hub stage defines a new model or populate an existing model from two incoming channels of data. It includes an optional outgoing error port that collects records not successfully processed by the dataflow. |
Merge Entities | The Merge Entities stage is used to merge two or more entities into one. |
Read from Hub |
The Read From Hub stage uses a saved query or new query to read data from an existing model. |
Query Hub |
The Query Hub stage is an intermediate stage that uses incoming data rows to define queries that extract specific entities and relationships from a model. |
Split Entity | The Split Entity stage splits one entity into two or more new entities. |
Write to Hub |
Write to Hub is a sink stage allows you to intuitively create a model using input data to define entities, relationships, and properties. Upon execution, Write to Hub loads the data into the hub. |