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Stream Processor

docs/getting-started/components/stream-processor.md

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Stream Processor

A Stream Processor is responsible for consuming data from stream sources (such as Kafka, Kinesis, etc.) and loading it directly into the online (and optionally the offline store).

A Stream Processor abstracts over specific technologies or frameworks that are used to materialize data. An experimental Spark Processor for Kafka is available in Feast.

If the built-in processor is not sufficient, you can create your own custom processor. Please see this tutorial for more details.