Real-Time Data Processing refers to the immediate processing and analysis of data as it is generated. This approach allows organizations to make quick decisions based on the most current information, enhancing operational efficiency and responsiveness. Technologies such as Apache Kafka and Apache Flink are commonly used to facilitate this type of processing. In various industries, including finance and healthcare, real-time data processing is crucial for monitoring systems and responding to events as they happen. For instance, stock trading platforms rely on real-time data to execute trades instantly, while healthcare systems use it to track patient vitals continuously.