Apache Kafka - Real-time Stream Processing (Master Class) - Mixing Joins with Aggregates - Computing Top 3

The video tutorial explains how to implement joins and aggregation in Kafka streams, focusing on a custom solution to sort KTables by click counts to find the top three news types. It covers the problem definition, the creation of a custom data structure, and the coding of a class to manage sorted news types. The tutorial concludes with the execution of the solution, demonstrating the real-time sorting and updating of news types based on click counts.

What new insight or understanding did you gain from this video?

Evaluate responses using AI:

OFF