Real-time data streaming refers to the continuous flow of data that is transmitted and processed instantly as it is generated. This technology allows organizations to analyze and act on data in the moment, rather than waiting for batch processing. Common applications include monitoring social media feeds, financial transactions, and sensor data from devices in the Internet of Things (IoT). By utilizing real-time data streaming, businesses can make quicker decisions, improve customer experiences, and enhance operational efficiency. Tools and platforms like Apache Kafka and Amazon Kinesis are often used to facilitate this process, enabling seamless data integration and analysis across various systems.