How can we compute multiple granular data quality rule flags for every incoming record?
Assigning individual boolean columns for each validation rule creates a transparent audit trail.
Enterprise data quality scoring and tracking compliance metrics in monitoring dashboards.
df_audit = df.withColumn("null_key_flag", col("id").isNull()).withColumn("invalid_email_flag", ~col("email").rlike("@")).withColumn("negative_price_flag", col("price") < 0)Practice typing production-grade PySpark code for Data Quality Flag Matrix.