Blog
Articles on data quality, schema mapping, and Python data engineering.
Enable LLM boost across GoldenCheck, GoldenFlow, and GoldenMatch to catch what fuzzy matching misses — with real costs under $0.10.
Add a production-ready data quality pipeline to your Python backend in 5 minutes. One pip install, one function call, zero config.
We ran the full Golden Suite pipeline on 208,505 real NC voter registration records. 61 quality findings, 197K addresses cleaned, 10,718 duplicate clusters found — all in 34 seconds with zero config.
5 methods compared — from naive loops to production-grade entity resolution with GoldenMatch.
How infermap uses a weighted scorer pipeline to automatically align messy columns to your target schema.
From regex checks to statistical profiling — how GoldenCheck finds problems you didn't know you had.