Real-time data streams refer to continuous flows of data that are generated and processed instantly as events occur. This type of data is often used in various applications, such as monitoring social media activity, tracking financial transactions, or analyzing sensor data from devices like IoT gadgets. The goal is to provide immediate insights and enable quick decision-making. These data streams can be processed using technologies like Apache Kafka or Apache Flink, which help manage and analyze the incoming data efficiently. By leveraging real-time data, businesses can respond to changes in their environment, improve customer experiences, and optimize operations.