EFFICIENT STREAM DATA PROCESSING FOR BACKEND MODEL TRAINING

This paper examines approaches to stream data processing (SDP) for training machine learning (ML) models on the backend. Architectural solutions, including Lambda and Kappa architectures as well as microservice approaches, are explored with a focus on their advantages and limitations under modern co... View More