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
The correct answer is:
- Cloud Dataflow reads data in and can apply filtering, grouping, comparing, joining, or aggregation
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