Conclusion : Cloud Dataflow for Batch Modeling
Conclusion to cloud Dataflow for batch modeling.
Dataflow is a powerful data pipeline tool that enables data scientists to rapidly prototype and deploy data processing workflows that can apply machine learning algorithms. The framework provides a few basic operations that can be chained together to define complex graphs of workflows. One of the key features of Dataflow is that it builds upon an open-source library called Apache Beam, which enables the workflows to be portable to other cloud environments.
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