Data Streaming

Data streaming refers to the continuous flow of data at a high volume, typically generated from various sources such as sensors, social media, financial transactions, or website clicks. This data is processed in real-time, enabling immediate insights and actions. Organizations use data streaming to monitor systems, detect anomalies, and make timely decisions. Technologies like Apache Kafka, Apache Flink, and Amazon Kinesis facilitate data streaming by providing robust frameworks for ingesting, processing, and analyzing large data streams. Real-time data processing is crucial in industries such as finance, healthcare, and telecommunications, where timely information can significantly impact outcomes. Data streaming helps businesses stay competitive by enabling faster, data-driven decision-making.