Machine Learning-Ready Student Interaction Telemetry Database

Design a highly scalable database architecture in Laravel specifically optimized for capturing and storing granular student interaction telemetry for machine learning model training. Create a flexible schema that can efficiently store clickstream data, learning path interactions, and engagement metrics with minimal performance overhead. Implement intelligent data sampling and archiving strategies to manage long-term storage requirements.