Data Streaming

Data streaming refers to the continuous transmission of data over a network in real-time. Unlike traditional data processing systems that require the entire dataset to be collected before analysis, data streaming allows for the immediate processing and analysis of data as it is generated or received. This is particularly useful for scenarios where timely insights are critical, such as in financial markets, social media, and real-time analytics applications.Data streaming typically involves technologies and frameworks that support real-time data ingestion, processing, and output to downstream systems, such as Apache Kafka, Apache Flink, and AWS Kinesis. The data can come from various sources, including sensors, user interactions, and informational feeds, and is often structured, semi-structured, or unstructured.The key benefits of data streaming include reduced latency, the ability to handle large volumes of data, and the capability to provide continuous insights and immediate reactions to changes in the data. This approach is widely used in industries like telecommunications, finance, and IoT (Internet of Things), where the need for rapid data processing is crucial.