Dataflow

Dataflow is a programming model that enables parallel processing of large amounts of data across distributed computing systems. It involves breaking down a complex task into smaller sub-tasks that can be executed concurrently, with the results of each sub-task being combined to produce the final output. Dataflow is particularly useful for big data processing, as it allows for efficient use of resources and can handle large volumes of data in real-time. Dataflow can be implemented using various technologies, including Apache Beam, Google Cloud Dataflow, and Apache Flink.
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