Real-Time Analytics and Streaming Data
Real-Time Analytics and Streaming Data Real-time analytics means measuring and reacting to events as they happen. Streaming data comes from logs, sensors, and user activity across apps. The aim is to turn a flood of events into fast, trustworthy insights that guide decisions. Ingestion and transport Data arrives from many sources. Use lightweight publishers and properly ordered streams. Common choices include Apache Kafka and other message queues. Keep schemas stable but flexible so new fields can arrive without breaking pipelines. Early filtering helps; you want to pass only what you need downstream to reduce delay. ...