Big data are those types of data that are so large, varied, and complicated that managing them and deriving value and hidden information from them requires new architecture, methodologies, algorithms, and analytics. Three things distinguish this data: it is large in quantity, it cannot be organised into conventional relational databases, and it is produced, collected, and processed fast. It uses a variety of data mining methods to find patterns and correlations in huge pre-existing databases, which may be described as the automatic extraction of meaningful, frequently undiscovered information from enormous databases. The objectives of data mining may be summed up as description, identifying relationships and patterns that can be understood by humans, and prediction, predicting a particular reaction of interest. Data mining pertaining to Public Health Dentistry involves the application of this to public oral health problem. Big data analysis might provide crucial insights to improve oral health in developing countries like India with limited resources, but with huge disease burden paving the way for effective oral health strategies and policies.