Streaming Data
Streaming data refers to continuous, real-time data flows generated from sources like sensors, logs, or user interactions, processed incrementally as it arrives rather than in batches. It enables immediate analysis, monitoring, and response to events, supporting applications such as fraud detection, IoT monitoring, and live analytics. Technologies like Apache Kafka, Apache Flink, and AWS Kinesis are commonly used to handle streaming data pipelines.
Developers should learn streaming data for building real-time applications that require low-latency processing, such as financial trading systems, social media feeds, or real-time dashboards. It's essential in scenarios where data freshness is critical, like monitoring server logs for anomalies or processing sensor data in IoT devices to trigger immediate actions.