<ul><li>Creating reports in SQL to find missing data during the normalization process is crucial for maintaining data integrity.</li><li>Common SQL reporting patterns like NOT EXISTS, IS NULL, CASE, and boolean-style flags can help detect and quantify data anomalies.</li><li>Examples include identifying orphaned records, detecting null values in critical fields, and flagging inconsistent data types or logic.</li><li>By automating the reporting pipeline, outputting results to dashboards, and following best practices, SQL-based data integrity reports can be made more actionable and accessible.</li></ul>

Creating Reports to Find Missing Data During the Normalization Process in SQL

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