This is a dedicated watch page for a single video.
You are tasked with categorizing terabytes of articles into topics using Amazon SageMaker and Latent Dirichlet Allocation (LDA). However, processing such a vast dataset in one go poses significant challenges in terms of storage and the reliable training of the model. What strategy could be implemented to enhance the system's performance?