SENG5709: Event Driven Architecture & Real-time Data Processing

This course is a robust discussion of many topics to learn engineering concepts with regard to event-driven architectures and implementations. Students will gain experience analyzing, designing, and implementing an event-driven system leveraging technologies such as Apache Kafka, Apache Druid, OpenTelemetry, Kafka Streams, and more. At the conclusion of the course, students will have experience or exposure to: ● Modern data processing concepts ● Analyzing/Designing event-driven data architectures ● Kafka Streams and Apache Flink for data processing ● Analytical Database solutions using Apache Pinot and/or Druid ● Building observable and maintainable applications ● Testing strategies and best practices ● Additional engineering concepts applicable to large-scale enterprise development The course will be a mix of lecture, discussion, use-case evaluation, and hands-on activities to cover the broad domain of modern data engineering

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