Big data is crucial in advanced analytics as it provides the volume, variety, and velocity of data needed to generate meaningful insights. Sources of big data in epidemiology include electronic health records, social media, mobile health apps, and environmental sensors. By integrating and analyzing these diverse data sources, epidemiologists can gain a comprehensive understanding of health patterns and determinants.