NULL-safe filtering prevents bugs: find records with missing data, handle optional fields, validate data completeness, filter nullable columns correctly.

Data Quality Checks

Find incomplete records with missing required fields

Data Quality Checks

SELECT * FROM customers WHERE email IS NULL OR phone IS NULL;

Data quality team identifies incomplete customer records for cleanup and validation.

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