Most pipeline failures are loud — a destination is down, an API key expired, a field is required and missing. Those show up in the run log immediately. The mistakes worth writing about are the quiet ones, where the pipeline reports success but the data is wrong.
Mismatched formats
A date field that arrives as MM/DD/YYYY from one app and is expected as ISO 8601 by another won’t always error — some systems will silently accept and misinterpret it. Add an explicit transform step rather than relying on the destination to guess.
Optional fields treated as required downstream
A field that’s optional at the source but required for a report on the destination side can leave records that look complete but break analytics weeks later. Worth a periodic spot-check on any pipeline feeding a dashboard.
Truncation on long text fields
Some CRMs cap free-text fields at a fixed character count and truncate without warning. If a mapped field can run long, test with a worst-case value once during setup.
None of this is unique to TGArchiveTech — it’s true of any integration, no-code or hand-coded. The fix is always the same: check actual delivered data occasionally, not just run status.