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Detect and handle multiple CSV format versions from the same data source; deduplicate records across format variants
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基于 SOC 职业分类
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| name | multi-format-csv-detection-and-deduplication |
| description | Detect and handle multiple CSV format versions from the same data source; deduplicate records across format variants |
| version | 1.0.0 |
| source | auto-extracted |
| extracted | "2026-04-14T00:00:00.000Z" |
| metadata | {"tags":["csv","data-ingestion","format-detection","deduplication","brokerage-data"]} |
When ingesting CSVs from sources that evolve formats over time (e.g., Fidelity exports with old vs. new column orders), detect format from header structure rather than filename. The same year/period can exist in both formats with identical transactions. Use column position and presence of distinguishing headers (e.g., 'Account Number' only in new format) as discriminators. Build a unified parser that normalizes both formats to a canonical schema, then deduplicate by transaction fingerprint (date, ticker, quantity, price) across all input files.
