Streaming analytics

Streaming analytics is the continuous, real-time processing of data records as they arrive to extract immediate insights and trigger automated actions.

Streaming analytics shifts data processing from static, batch-based windows to a continuous, event-driven model. Using engines like Apache Flink or Spark Streaming, organizations ingest millions of events per second from sources like IoT sensors, financial transactions, or clickstreams. This technology enables split-second decision-making: detecting credit card fraud before a transaction clears, adjusting e-commerce pricing based on live inventory, or monitoring industrial equipment for immediate failure signs. By applying stateful computations and complex event processing (CEP) to unbounded data streams, businesses bypass the latency of traditional data warehouses and act on information while it is still relevant.

https://flink.apache.org