Data Stream Processing - Concepts and Implementations

This course covers various concepts used in data stream processing, focusing on processing time compared to event time. It includes techniques such as the Dataflow API, stream and table duality, data lookup, and deployment of streaming applications. The implementation status of these strategies in Apache Spark Streaming, Apache Flink, and Kafka Streams is also discussed. The course is designed for IT professionals interested in big data and streaming applications.