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Csv Export

Export structured data to CSV as a portable, auditable interface.

Intent

Produce clean CSV exports as a stable interchange format.

When to use

  • You need a portable export for vendors or stakeholders.
  • Reports must be auditable and repeatable.
  • Downstream systems consume CSV files.

Core mechanics

  • Define canonical columns and ordering.
  • Normalize formatting, encoding, and quoting.
  • Emit an export with metadata and timestamps.

Implementation checklist

  1. Document column definitions and ownership.
  2. Implement consistent ordering and quoting.
  3. Include headers and timestamps.
  4. Validate row counts and required fields.
  5. Store exports in a predictable location.

Failure modes and mitigations

  • Schema drift -> version columns and document changes.
  • Encoding issues -> enforce UTF-8 and consistent quoting.
  • Missing records -> compare counts with source.

Observability and validation

  • Row count and file size per export.
  • Export timestamp and checksum.

Artifacts

  • Data dictionary.
  • Sample CSV export.
  • Export logs.
Seen in production

Seen in production as

Atlas project

GSuiteAPI

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