Part 16: Data Manipulation in Data Validation and Quality Control

Author(s): Raj kumar Originally published on Towards AI. Data quality issues are the silent killers of production systems. A single malformed record can crash your pipeline. A gradual drift in data distributions can slowly degrade model performance. Missing values that sneak through validation can corrupt downstream analytics. The cost of poor data quality is measured not just in failed jobs, but in wrong business decisions, customer frustration, and lost revenue. Data validation and cleaning ar