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Stateful Dataflow Demos

Dataflows for complex use cases:

The Anatomy of a Data Pipeline

Implementing an event-driven end-to-end data pipeline can be challenging — raw webhooks from third-party vendors like Stripe or GitHub are typically verbose and unwieldy for analytics. To simplify downstream processing, we split the pipeline into two distinct stages:

Reduce

Converts raw vendor events into compact, Fluvio-native types.

Process

Consumes those reduced types and executes one or more domain-specific transformations or actions.

You can chain as many Process pipelines as your use cases require — each one targets a specific analytic, notification, or enrichment task.

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