The technology that enables the analysis of large datasets to extract meaningful insights is called big data analytics. It utilizes various tools and techniques, such as statistical analysis, machine learning algorithms, and data mining, to interpret complex data sets. The goal is to identify patterns, trends, and correlations within the data. Tools like Hadoop and Spark are commonly employed in big data analytics, enabling organizations to make informed business decisions and enhance operational efficiency based on the discovered insights.