TLDR Tech / Data
Healing Tables: When Day-by-Day Backfills Become a Slow-Motion Disaster
Healing Tables approaches historical data management by enabling deterministic, fully reproducible builds directly from source data, eliminating compounding errors inherent to traditional incremental loading. The algorithm consists of six steps: effectivity table generation, time slicing, unified source joining, hash-based change detection, consecutive row compression, and validation. This effectively decouples change detection from valid time period construction and allows arbitrary historical reprocessing in a single pass.
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