Apache Kafka - Real-time Stream Processing (Master Class) - KStream Aggregation using Reduce()

This video tutorial introduces aggregation in Kafka streams, focusing on using the reduce method for aggregation. It revisits a rewards computation example, demonstrating how to eliminate manual state stores by using K stream. The tutorial provides a starter project setup and guides through transforming invoices into notifications, grouping by customer ID, and reducing to compute total rewards. It concludes with testing methods and encourages further learning.

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