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Handle Incomplete Pipeline Data

MediumPipelines00:00
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Problem

Scenario

You're working on a data pipeline where source data can arrive with missing fields, duplicate records, or conflicting values across systems. You want a practical approach for keeping downstream reporting usable while preserving traceability back to the raw inputs.

Question

How would you handle a dataset that is incomplete or inconsistent?

What This Tests

  • Data quality controls for missing and inconsistent records
  • ETL design for validation, quarantine, and remediation
  • Idempotent loading to avoid duplicate downstream data
  • Backfill and replay strategy after source corrections