You are a Machine Learning Engineer at a leading digital publishing platform that hosts a wide range of content from both established authors and emerging voices. Your platform offers users a limited number of free articles each month, after which a subscription is required. To enhance user experience and engagement, you are tasked with developing a machine learning model that analyzes reading habits and preferences to predict future trends and favored topics. During the training phase of your Deep Neural Network (DNN) using TensorFlow, you encounter a significant challenge: the dataset is too large to fit into RAM. Considering the need for a solution that is both efficient and straightforward, which of the following approaches should you adopt? (Choose one correct option)