Design a comprehensive framework for analyzing a terabyte-scale dataset containing 50 million customer records with 500 features including categorical, numerical, and textual data. Your framework should address data quality issues, feature engineering strategies, dimensionality reduction techniques, and advanced statistical modeling approaches. Include specific methods for handling class imbalance, missing values, and concept drift. Explain how you would validate your models and communicate insights to stakeholders with varying levels of technical expertise.