Apache Kafka - Real-time Stream Processing (Master Class) - Real-time Streaming - Use Cases

The video tutorial introduces stream processing, focusing on five technical categories: Incremental ETL, real-time reporting, alerting, decision making, and online machine learning. It explains how these categories are applied in business contexts, such as social media, healthcare, and e-commerce. The tutorial emphasizes the importance of real-time data processing and the role of tools like Apache Kafka in developing solutions.

What are some specific use cases for real-time decision making and machine learning?

How does online machine learning differ from real-time decision making?

What challenges are associated with implementing real-time stream processing?

In what ways can Apache Kafka and Kafka Streams API contribute to stream processing solutions?