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Veröffentlicht : Nov 14, 2018
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
Nov 2018
Assess ? Worth exploring with the goal of understanding how it will affect your enterprise.

Google Cloud Dataflow is useful in traditional ETL scenarios for reading data from a source, transforming it and then storing it to a sink, with configurations and scaling being managed by dataflow. Dataflow supports Java, Python and Scala and provides wrappers for connections to various types of data sources. However, the current version won’t let you add additional libraries, which may make it unsuitable for certain data manipulations. You also can’t change the dataflow DAG dynamically. Hence, if your ETL has conditional execution flows based on parameters, you may not be able to use dataflow without workarounds.

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