Streaming data is data generated continuously by diverse sources, arriving sequentially in potentially unbounded streams. This concept concerns the methodologies for processing and analyzing such data in real-time. As a research field, it investigates the theoretical and practical challenges associated with the ingestion, transformation, querying, and analysis of data as it is generated, distinct from batch processing of static datasets. Key characteristics studied include high velocity, volume, and variability, necessitating techniques for low-latency processing and dynamic adaptation. Its significance lies in enabling timely insights and rapid decision-making in domains requiring responsiveness to continuous information flows, such as sensor networks, financial markets, and system monitoring.