Apache Kafka - Real-time Stream Processing (Master Class) - Mixing Joins with Aggregates - Advert CTR

This lecture explains how to create a streaming application to monitor advertising campaign performance. It covers counting ad impressions and clicks using Kafka topics and computing the clickthrough rate, a key metric for online advertising effectiveness. The lecture encourages students to implement these concepts independently, with code provided for reference.

Describe how to compute the clickthrough rate by each campaigner.

What resources are available if someone feels stuck while developing the application?