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Useful for forwarding from Rutta into something that can keep track of event time watermarks and supports subscriptions/re-reads of data. It's also the only IO source of data that Python for Beam supports.
It can be combined with that BigQuery target. E.g. BigQuery for saving the error logs and pubsub for acting on the debug/info/warn logs.
The text was updated successfully, but these errors were encountered:
Useful for forwarding from Rutta into something that can keep track of event time watermarks and supports subscriptions/re-reads of data. It's also the only IO source of data that Python for Beam supports.
It can be combined with that BigQuery target. E.g. BigQuery for saving the error logs and pubsub for acting on the debug/info/warn logs.
The text was updated successfully, but these errors were encountered: