Case Study – MyBank

The video tutorial discusses implementing real-time banking alerts using Kafka. It covers the architecture needed to process transaction data from an SQL database using Kafka Connect and CDC connectors like dbisam. The tutorial explains setting user-defined thresholds for alerts and how Kafka streams can match transactions against these thresholds to generate alerts. It emphasizes the importance of using CDC connectors for efficient data exposure and highlights best practices for event-driven architecture.

Explain how user alerts are generated based on transaction data.

What considerations should be made when sending events to the user settings topic?