<commit_before># Orchestrating TFX Pipelines

## Apache Beam

Several TFX components rely on [Beam](beam.md) for distributed data processing.
In addition, TFX can use
[Apache Beam as an orchestrator](https://github.com/tensorflow/tfx/blob/master/tfx/orchestration/beam/beam_runner.py)
for orchestrating and executing the pipeline DAG. Beam orchestrator use a
different
[BeamRunner](https://beam.apache.org/documentation/runners/capability-matrix/)
than the one which is used for component data processing. With the default<commit_msg>Updating link for beam orchestrator<commit_after># Orchestrating TFX Pipelines

## Apache Beam

Several TFX components rely on [Beam](beam.md) for distributed data processing.
In addition, TFX can use Apache Beam to orchestrate and execute the pipeline DAG.
Beam orchestrator uses a different [BeamRunner](https://beam.apache.org/documentation/runners/capability-matrix/)
than the one which is used for component data processing. With the default
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