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PYSPARK โ€ข LESSON 216

Data Quality Flag Matrix

How can we compute multiple granular data quality rule flags for every incoming record?

Advancedโฑ 3 Minutesโญ 850 XP
๐Ÿค” THE QUESTION

How can we compute multiple granular data quality rule flags for every incoming record?

๐Ÿ’ก WHAT IS IT?

Assigning individual boolean columns for each validation rule creates a transparent audit trail.

๐ŸŽฏ WHAT IS IT USED FOR?

Enterprise data quality scoring and tracking compliance metrics in monitoring dashboards.

๐Ÿ’ป EXAMPLE
df_audit = df.withColumn("null_key_flag", col("id").isNull()).withColumn("invalid_email_flag", ~col("email").rlike("@")).withColumn("negative_price_flag", col("price") < 0)

๐ŸŽฏ Mission Objectives

Practice typing production-grade PySpark code for Data Quality Flag Matrix.

  • โœ“ Multi-rule quality flags
  • โœ“ Audit trail generation
  • โœ“ Data governance scoring