The technology enabling real-time data processing includes stream processing frameworks like Apache Kafka, Apache Flink, and Apache Storm. These tools allow organizations to handle high-velocity streams of data, perform transformations, and analyze data in motion. Real-time processing is critical for applications requiring instantaneous insights, such as fraud detection or live analytics. By processing data as it arrives, businesses can make informed decisions and respond promptly. Technologies like these leverage distributed systems to scale efficiently and manage vast amounts of data effectively.