Real-Time Data Streaming with Apache Kafka and Spark

Batch processing handles 80% of data workloads. But the remaining 20% — fraud detection, real-time dashboards, event-driven architectures, IoT telemetry — require streaming. And when you need streaming at scale, Kafka + Spark Structured Streaming is the standard stack.

Source: [Dev.to](https://dev.to/datanestdigital/real-time-data-streaming-with-apache-kafka-and-spark-5177)