“Data mining” in big data analytics involves extracting patterns, correlations, and insights from large volumes of data using sophisticated algorithms and techniques. It encompasses various methods such as clustering, classification, regression, and association rule learning. The goal of data mining is to discover hidden relationships within datasets that can inform decision-making, enhance operational efficiency, and drive strategic initiatives. Through meaningful analysis, businesses can identify trends, customer behaviors, and market opportunities, leveraging this information to gain a competitive advantage.