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GCP Dataflow is a fully managed, serverless, and scalable data processing service that is designed to provide a reliable, scalable, and cost-effective platform for building and deploying data processing applications and services. It is a popular choice for organizations looking to build and deploy data processing systems that can handle large volumes of data and provide high availability and fault tolerance. GCP Dataflow is a unified model for defining both batch and streaming data-parallel processing pipelines. It is a programming model that allows you to define data processing pipelines and run them on a variety of execution engines, including Apache Flink, Apache Spark, and Google Cloud Dataflow.