- Pipelines can be adapted to process streaming data with frameworks like Apache Kafka or Spark Streaming.
- Real-time logging and monitoring can track model performance continuously.
- DAG-based orchestration supports incremental data processing.
- Alerts and automated retraining can be triggered by data anomalies.
- Enables production-ready systems for finance, IoT, or online analytics applications.
