The Multicast transformation component is used when the data in the pipeline needs to be transferred to more than one flow. This component receives a single data input and makes multiple copies of that data that are available through as many outputs as needed. Each of the outputs coming out of Multicast can be used in different ways. For example one output could make an aggregation on data that joins another output in a later phase, or for example we could create several outputs to insert/load the same data into different destinations.
The difference between the Multicast and the Conditional Split components (referred in a previous recipe), is that Multicast directs each row of the source to every output, whereas Conditional Split directs each row to a single output.
