1 link tagged with all of: data quality + testing + instrumentation + data trust + data pipeline
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Data trust is not achieved through a single tool but rather through addressing numerous small failures throughout the data lifecycle. The article illustrates this concept using a real-life incident of clickstream data discrepancies, highlighting the importance of rigorous practices in instrumentation, testing, and pipeline management to prevent data trust erosion.
- A real clickstream data discrepancy incident traced back to small failures across the pipeline, not one big bug, illustrates how data trust actually erodes.
- Preventing this requires rigor at multiple stages simultaneously—instrumentation, testing, and pipeline management—since fixing just one won't restore trust.
- Data trust is framed as "death by a thousand paper cuts": it's lost gradually through many minor issues rather than a single catastrophic failure.