Heterogeneous Analytics Ecosystem

An enterprise environment where multiple data processing and model execution architectures coexist, including batch systems, REST APIs, and streaming platforms. This requires flexible model deployment strategies to support diverse use cases and consumption patterns. For example, an AI model might be deployed to a Spark batch job for ETL processing and simultaneously to a REST endpoint for real-time analytics.