Data & Database Workflows (page 8 of 40)
PostgreSQL, SQL, CSV, JSON, Excel, PDF, and conversion pipelines — practical workflows for working with structured data safely.
- International Phone Numbers in CSV: E.164 Normalization
A practical guide to turning messy international phone number columns into a reliable E.164-based contract without destroying important edge cases.
- "Invalid UTF-8" on Upload: Tracing the Real Source File
A practical guide to finding the real file and the real transformation step behind an "Invalid UTF-8" upload error instead of blindly resaving and hoping it works.
- Leading Zeros in CSV: Preserving IDs Through Excel and Sheets
A practical guide to keeping IDs like 00123 intact when CSV files move through Excel, Google Sheets, and downstream loaders.
- Line Numbers vs Record Numbers: Reporting Errors Clearly
A practical guide to reporting CSV errors with the right coordinates so engineers, analysts, and support teams can actually find the broken record.
- LMS CSV Roster Uploads: Role and Email Uniqueness Errors
A practical guide to fixing LMS CSV roster upload failures caused by duplicate emails, wrong identity fields, and invalid or mismatched role values.
- "Malformed CSV" Errors Decoded: Patterns and Fixes
A practical guide to decoding "malformed CSV" errors so you can tell whether the file is actually broken, merely unexpected, or being read with the wrong assumptions.
- Memory limits: when to chunk CSV client-side vs server-side
A practical guide to deciding when CSV chunking belongs in the browser and when it belongs on the server.
- Merge CSV by key: survivorship rules when values conflict
A practical guide to merging CSV files by key without letting conflicting values silently overwrite each other.
- Merging two CSV exports from the same system safely
A practical guide to merging two CSV exports from the same system without creating duplicates, masking deletions, or turning export timing into a silent data-quality bug.
- Meta Ads CSV exports: reconciliation gotchas
A practical guide to reconciling Meta Ads CSV exports without mistaking attribution settings, time zones, or breakdown choices for data corruption.