
Introduction The era of simple model training on small local datasets has vanished into a sophisticated landscape where the ability to process hundreds of millions of records efficiently is what separates theoretical research from profitable production systems. As data volumes continue to explode, the divide between pure statistical analysis and robust data engineering has largely collapsed, forcing a paradigm shift










