Process Real-Time Data with Spark Streams

Real-time data is everywhere — from fraud detection in financial transactions to personalized recommendations in e-commerce and anomaly detection in IoT devices. Traditional batch processing is too slow for these use cases, and businesses need insights the moment data is generated. This course teaches you how to design, build, and operate reliable streaming pipelines using Apache Spark Structured Streaming and Kafka. In this course, you’ll start with the fundamentals of Spark’s streaming model, learning how micro-batching, triggers, and checkpoints enable continuous processing. You’ll then co…