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Cloudera can be used as a data source and compute engine for the Hopsworks Feature Store. You can run feature pipelines, training pipelines, and batch inference pipelines in Spark, Flink, or Python in Cloudera, and those pipelines can can read and write from/to the Hopsworks Feature Store.
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Hopsworks Feature Store can manage your features and models for your Cloudera cluster. Data scientists can create features and training data in Hopsworks, register models with Hopsworks Model Registry, and serve models from Hopsworks (using Hopsworks KServe model serving infrastructure).
