Real-time analytics

Real-time analytics processes and analyzes data streams the moment they are generated to enable immediate, automated decision-making.

Real-time analytics eliminates the 'insight lag' of traditional batch processing by handling data in motion. Using technologies like Apache Kafka for ingestion and Apache Flink or Spark Streaming for processing, systems can identify patterns and trigger actions within milliseconds. This is the engine behind Uber's dynamic pricing, Netflix's personalized recommendations, and instant fraud detection at major banks. By shifting from reactive reporting to proactive execution, organizations use sub-second query latencies to optimize supply chains and stop security threats before they escalate.

https://www.confluent.io/learn/real-time-data-analytics/