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State Management in Data Pipelines

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Problem

Scenario

You're working on a distributed data pipeline and need a clear way to think about how state is tracked across ingestion, processing, and recovery. The pipeline may run in batch or streaming mode, and multiple workers may process related records at different times.

Question

How do you handle state management in distributed applications?