The technology that allows for the real-time processing of large data sets is typically associated with stream processing or big data analytics. Technologies such as Apache Kafka, Apache Flink, and Apache Spark enable organizations to analyze data as it flows into the system, allowing for immediate insights and actions. These tools facilitate the handling of vast amounts of data from various sources, enabling businesses to respond quickly to changing conditions and trends. Real-time processing is vital for applications in fields like finance, marketing, and operations.