Streaming updates into feature tables are useful when:

Question

Accepted Answer

Low-latency freshness requirements need continuous ingestion from event streams — Streaming feature updates for freshness when batch daily isn't enough.

Answer

Features never change

Answer

Batch daily is always enough for millisecond decisions

Answer

Labels are not needed ever for supervised learning

Streaming updates into feature tables are useful when:

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