Which Of These Statements Best Describes The Kinds Of Transforms A Cloud Dataflow Pipeline Can Do?

  • Cloud Dataflow takes a query and runs information from the database through it to produce tables of data organized according to the requirements of the original query.
  • Cloud Dataflow relies on a large database to store and analyze data processing pipelines, performing transforms resulting in predictive analytics that can be leveraged to optimize business decisions.
  • Cloud Dataflow relies on training data to enable machine learning that can then read multiple streams of data and perform transforms that produce resulting output data.
  • Cloud Dataflow reads data in and can apply filtering, grouping, comparing, joining, or aggregation

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