The blog post titled "10 Data Problems Every Pipeline Hits (and How to Fix Them with GoldenFlow v1.1)" highlights common data quality issues encountered in data pipelines and introduces solutions using the GoldenFlow library, version 1.1. Below is a summary of the ten problems discussed along with their corresponding fixes:
Problem 1: Inconsistent Email Addresses
Issue: Emails are stored inconsistently (e.g., all lowercase, mixed case).
- Solution: Use
email_standardizeto convert emails to a consistent format.
Problem 2: Mixed Case URLs
Issue: URLs may be in different cases.
- Solution: Apply
url_lowercaseto ensure consistency.
Problem 3: Dashed and Spaced SSNs
Issue: Social Security Numbers (SSNs) are inconsistently formatted with dashes or spaces.
- Solution: Use
ssn_formatfor normalization, andssn_maskfor masking sensitive information.
Problem 4: Inconsistent Country Names
Issue: Country names are entered in various languages, abbreviations, etc.
- Solution: Utilize
country_standardizeto map country names to ISO 3166-
Read the full article at DEV Community
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