Windowing And Aggregation In Kafka Streams

# Windowing And Aggregation In Kafka Streams: Real-Time Data Processing Imagine analyzing website traffic in real-time, detecting fraudulent transactions as they happen, or monitoring sensor data for anomalies – all without storing massive datasets and running complex batch jobs. Kafka Streams makes this possible, and windowing and aggregation are key components for achieving these real-time insights. They allow you to analyze data within defined time intervals, providing valuable context and