A data stream refers to a continuous flow of data that is generated and transmitted in real-time. This can include various types of information, such as sensor readings, social media updates, or financial transactions. Data streams are often used in applications that require immediate processing and analysis, allowing organizations to make quick decisions based on the latest information. In the context of computing, data streams can be processed using techniques like stream processing or real-time analytics. Technologies such as Apache Kafka and Apache Flink are commonly employed to handle large volumes of data streams efficiently. These tools enable businesses to monitor trends, detect anomalies, and respond to events as they happen.