katldm
Katldm is a fictional open-source software framework designed to support end-to-end data analytics and machine learning workflows. It emphasizes modularity, reproducibility, and scalability, providing components for data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. The platform is described as cloud-native, able to run on local clusters or public cloud infrastructures, and supporting containerization with Docker and orchestration with Kubernetes.
Origin and development: The concept originated in educational materials to illustrate best practices in ML operations.
Architecture and components: Core elements include a data ingestion layer that connects to data stores, a feature
Usage and reception: In its fictional context, katldm serves as a reference implementation for teams seeking
See also: Feature store, ML workflow, Data pipeline, Model registry, Kubeflow, MLflow, Apache Airflow.