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
