Scenario: A data anomaly is detected in the production environment, impacting critical business operations. How would you utilize data lineage and metadata management to identify the root cause of the issue and implement corrective measures swiftly?
- Conduct ad-hoc analysis without utilizing data lineage, experiment with random solutions, overlook metadata management
- Escalate the issue without investigating data lineage, blame individual teams for the anomaly, delay corrective actions
- Ignore data lineage and metadata, rely on manual troubleshooting, implement temporary fixes without root cause analysis
- Trace data lineage to pinpoint the source of anomaly, analyze metadata to understand data transformations, collaborate with relevant teams to investigate and resolve the issue promptly
Utilizing data lineage and metadata management involves tracing data lineage to identify the root cause of the anomaly, analyzing metadata to understand data transformations, and collaborating with relevant teams for swift resolution. This approach ensures that corrective measures are implemented effectively, addressing the issue's underlying cause and minimizing the impact on critical business operations.
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