Build receipt pipelines that preserve source identity, survive replay and publish only reconciled results.
Learning path
- Data source contracts: preserve raw records before transformation
- Incremental extraction: advance a compound watermark without losing ties
- Change data capture: apply updates and deletes by source order
- Idempotent loads: commit target rows and extraction progress together
- Event time and late arrivals: close windows with an explicit correction policy
- Data quality gates: quarantine bad rows and reconcile complete batches
- Warehouse history: join facts to the dimension version valid at event time
- Backfills: rebuild history without exposing a half-written result
- Project: build a replayable receipt pipeline with an atomic publish gate
Connected foundation
Bring the earlier analysis and evaluation contracts into this subject.
Practice
Complete the project with its failure-case evidence.
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