Why full rebuilds stop scaling
At the beginning, rebuilding tables feels fine. Then data grows. Queries slow down. Costs creep up. I’ve seen teams scared to refresh dashboards before board meetings.
What usually goes wrong
Without incremental logic, you get stuck between two bad options:
- Recompute everything and pay more
- Don’t recompute and trust outdated data
Neither is a great strategy. What BigQuery gives you out of the box:
It is very good at appending data — if you help it. Dates, watermarks, and clear boundaries turn chaos into a pipeline.
How I do it in practice
I always track the “last processed date”:
- Only load new partitions
- Append, don’t rewrite
- Reprocess edge days if needed
It keeps data fresh and costs predictable.
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