Can you describe a solid business use case for using Kafka as a data source and AWS Glue for data transformation?

A solid business use case for Kafka + Glue is real‑time fraud detection in payments. Kafka streams transaction events from the payment gateway. Glue jobs consume the stream, enrich each event with customer profile data from a data lake, and write the enriched records to a data warehouse for downstream analytics. Glue’s serverless ETL handles schema drift and can run on a schedule or trigger. The enriched data can feed a machine‑learning model that flags suspicious activity. This architecture provides low latency, scalability, and cost‑effective processing without managing servers.