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From Spark model to production: persistence, MLflow tracking, and batch scoring
A trained Spark ML model is only the beginning of a machine learning lifecycle. In production, the hard problems appear after training:
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Tools: Kubeflow, Vertex AI, MLflow Projects
Kubeflow, Vertex AI, and MLflow Projects have become essential in modern MLOps pipelines. This post compares their architectures, orchestration models, and trade-offs to help engineers choose the right tool for scalable machine learning workflows.