Cloud Dataflow is a fully managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness. Knowing this, where does Cloud Dataflow fit in the big data processing model?
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Correct answer: Proces s.
Why this is the answer
Cloud Dataflow fits the process phase because it transforms and enriches data after ingestion and before storage or analysis. It supports both stream processing and batch processing using a unified pipeline model. Dataflow pipelines can apply operations such as filtering, grouping, joining, and aggregation. This makes Cloud Dataflow the Google Cloud service used to process data within big data workflows.
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