Data streaming is the continuous flow of data generated by various sources, such as sensors, social media, or online transactions. This real-time data is processed and analyzed as it arrives, allowing for immediate insights and actions. Common applications include live sports updates, financial market analysis, and monitoring of IoT devices. Streaming technologies, like Apache Kafka and Amazon Kinesis, enable organizations to handle large volumes of data efficiently. By using these tools, businesses can make timely decisions, improve customer experiences, and enhance operational efficiency, all while managing data in a dynamic and scalable manner.