Making Sense of Stream Processing

on YouTube ↗46m

" summary

Covers how structuring data as event streams can represent business activity and discusses open-source stream-processing technologies such as Apache Kafka, Spark Streaming, and Kafka Streams, and their growing use in software projects. Explains the stream-processing model as a way to analyze business events.

AI-written summary · about

" chapters (10)

1. 0:00Start
2. 3:44Events and Stream Processing
3. 6:58Case Study - Google Analytics
4. 12:41Event Sourcing- similar ideas, different case study
5. 21:20Using Append-Only Streams of Immutable Events
6. 24:16Ideas into Practice - Tools
7. 35:35Building a Solid Data Infrastructure?
8. 36:36Using Event Stream
9. 37:47Logs in Different Areas of Computing
10. 39:14Database Engines

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