Data streams refer to continuous and potentially infinite sequences of data that are generated rapidly and continuously over time. This field of research focuses on the challenges associated with processing, analyzing, and extracting meaningful insights from these data streams in real-time. Data streams can arise from various sources such as sensors, social media, financial markets, and internet traffic. Researchers in this area work on developing algorithms, techniques, and systems to efficiently handle high-volume and high-velocity data streams, often in the context of applications such as real-time analytics, monitoring, and anomaly detection. This research area plays a crucial role in addressing the growing need for real-time processing and analysis of big data generated by modern technologies and systems.