Stream Processing beyond Streaming Data

on YouTube ↗42m

" summary

Covers how Apache Flink is expanding stream processing into a unified paradigm for batch, real-time applications, and distributed transactions. Describes Flink’s next-generation streaming runtime that also delivers batch performance, a new Machine Learning library with an API for training across static and live data, and new stream-processing building blocks for application consistency, illustrated by user use cases.

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" chapters (8)

1. 0:00Introduction to Flink
2. 6:07Stateful stream processing basics
3. 12:27Stream processing use cases
4. 20:59Streaming as core attraction
5. 27:21Function services in streaming
6. 31:23Snapshots in stream processing
7. 36:31Computing services overview
8. 40:18Q&A and tutorials

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