This article discusses the challenges of traditional day-by-day backfills in historical data processing and introduces the concept of Healing Tables. By separating change detection from period construction, Healing Tables allow for a complete and efficient rebuild of data dimensions from source data, addressing common errors and inefficiencies in incremental loading.