Data Engineer
hardde-incremental-loads
How do incremental loads work and how do you avoid duplicates?
Answer
Incremental loads process only new/changed data.
Common patterns:
- Watermark columns (updated_at)
- CDC streams
- Partition-based loads
Avoid duplicates by using idempotent merges (upserts), stable keys, and exactly-once-like processing semantics where possible. Always support safe backfills.
Related Topics
ETLReliabilityData Engineering