Sequence Alignment and Data Deduplication

Concepts: pySmithWaterman, pyLogDedup, pyRecordLinkage

Sequence alignment is where DP crosses directly into production data engineering. The problems you solve here, log deduplication, record linkage, schema drift detection, are things senior DEs spend real hours on. The algorithms under the hood are DP variants of edit distance and LCS, sometimes with application-specific scoring matrices. Knowing the underlying DP gives you the ability to tune these systems, not just call a library. Smith-Waterman for Log Deduplication Smith-Waterman is a LOCAL sequence alignment algorithm (vs Needleman-Wunsch which is global). It finds the best matching subsequence between two strings, ignoring the unmatched tails. This is exactly what you need for log deduplication: error messages from the same root cause have the same core phrase but different prefixes/su