Machine Learning Feature Store for Financial Predictions

Design a specialized database schema optimized for machine learning feature storage in financial predictive modeling. Create an architecture that supports versioned feature tracking, enables efficient feature retrieval for training and inference, and provides robust lineage tracking for model accountability. Include strategies for handling large-scale financial datasets with complex temporal and categorical features.