Teradata PT pipeline parallelism is achieved by connecting operator instances through
data streams during a single job.
Figure 2 shows:
An export operator on the left that extracts data from a data source and writes it
to the data stream.
A filter operator extracts data from the data stream, processes it, then writes it
to another data stream.
A load operator starts writing data to a target as soon as data is available from
the data stream.
All three operators, each running its own process, can operate independently and concurrently.
As the shows, data sources and destinations for Teradata PT jobs can include:
Databases (both relational and non-relational)
Data storage devices, such as tapes or DVD readers
File objects, such as images, pictures, voice, and text
Figure 2: Teradata PT Pipeline Parallelism