Handling IoT data streams presents challenges like duplicate events from sensors, overwhelming Kafka topics and leading to inefficiencies and inaccuracies unless a deduplication mechanism is implemented.
Duplicate events are identified using sensor_id and timestamp; if these align, events are deemed duplicates despite differing sensor data content, complicating processing for downstream services.
Deduplication at the streaming layer is essential to maintain integrity in IoT pipelines, protecting against inflated processing costs and inaccurate downstream results.
Sensors may malfunction, further complicating deduplication as they could send incorrect data alongside duplicates, necessitating careful validation beyond traditional deduplication techniques.
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