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Mechanisms for injecting arbitrary external data sources or files into pipeline steps for processing.
Distinct from External Data Integrations: Distinct from External Data Integrations: focuses on the injection of arbitrary files into pipeline steps rather than general data enrichment.
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ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented
Injects arbitrary data sources or files produced outside the pipeline into steps as inputs for processing.