Self-healing data pipelines are becoming essential as ML systems scale — nobody wants to wake up to broken ETL jobs because of a rogue delimiter. This walkthrough covers auto-fixing CSVs, handling schema drift, and recovering from common Python errors without manual intervention. Solid practical engineering for anyone building production ML infrastructure
Self-healing data pipelines are becoming essential as ML systems scale — nobody wants to wake up to broken ETL jobs because of a rogue delimiter. This walkthrough covers auto-fixing CSVs, handling schema drift, and recovering from common Python errors without manual intervention. Solid practical engineering for anyone building production ML infrastructure 🔧
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Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors
How I built a self-healing pipeline that automatically fixes bad CSVs, schema changes, and weird delimiters. The post Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors appeared first on Towards Data Science.
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