Do you have an understanding of sensor data? How would you test the quality of sensor data to ensure there are no duplicates?

To test the quality of sensor data and eliminate duplicates, I would first define a clear schema that includes a unique identifier for each reading (e.g., timestamp + sensor ID). I would then implement automated checks in the ingestion pipeline: 1) Schema validation to ensure all required fields are present and correctly typed. 2) Duplicate detection using hash or composite key checks against a recent window of data. 3) Range and unit consistency checks (e.g., verifying that temperature values fall within expected bounds). 4) Statistical anomaly detection to flag outliers that may indicate sensor malfunction. I would store deduplication results in a separate audit log for traceability. Finally, I would schedule periodic data quality reports and set up alerts for any violations, ensuring continuous monitoring and quick remediation.