Apache Kafka - Real-time Stream Processing (Master Class) - Joining a KTable to another KTable

The video tutorial explains Kafka Stream joins, focusing on KStream to KTable and Global KTable joins. It presents a use case for a news website tracking ad clicks by news type. The solution involves creating a Kafka Streams application to join clickstream data with inventory data, enriching click events with news type information. The tutorial covers implementing the solution, joining streams and tables, and grouping and counting ad clicks by news type.

What are the expected outcomes of the Kafka Streams application discussed in the text?

What is the significance of using a global K table in the context of this Kafka Streams application?

How do you group the clicked inventories by news type in Kafka Streams?