Data streaming is the continuous, real-time flow of data from producers to consumers. Instead of processing data in large batches, streaming systems process events as they occur. Technologies like Kafka, Kinesis, and WebSockets support real-time analytics, log processing, and event-driven applications.
Why it matters
Streaming enables immediate insights, low-latency processing, and real-time automation. It is critical for applications like fraud detection, monitoring dashboards, and live communication systems.
Examples
Using Kafka to ingest clickstream data or WebSockets to push live updates to clients.