Streaming data is often used in applications where data is generated rapidly and may change frequently over time. Examples include social media feeds, financial market data, network monitoring, or Internet-of-Things (IoT) data from sensors. The aim of utilizing streaming data is to provide timely insights and actions based on real-time analysis. This data can be analyzed as it arrives, or it can be buffered and processed in batches, allowing for sophisticated analytics such as predictive modeling, anomaly detection, and real-time reporting.