Deduplicating archiver with compression and authenticated encryption.
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Updated
Jul 6, 2024 - Python
Entity resolution (also known as data matching, data linkage, record linkage, and many other terms) is the task of finding entities in a dataset that refer to the same entity across different data sources (e.g., data files, books, websites, and databases). Entity resolution is necessary when joining different data sets based on entities that may or may not share a common identifier (e.g., database key, URI, National identification number), which may be due to differences in record shape, storage location, or curator style or preference.
Deduplicating archiver with compression and authenticated encryption.
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Fast, secure, efficient backup program
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Scalable identity resolution, entity resolution, data mastering and deduplication using ML
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Open source project for data preparation of LLM application builders
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Simple, configuration-driven backup software for servers and workstations
Keeps a directory without duplicate files. Just copy files to there and they will be automatically unduplicated.
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Cross-platform backup tool for Windows, macOS & Linux with fast, incremental backups, client-side end-to-end encryption, compression and data deduplication. CLI and GUI included.
Enable deduplication with non-Synology SSDs and unsupported NAS models
A dictionary that de-duplicates values.
Deduplicating archiver with encryption and paranoid-level tests. Swiss army knife for the serious backup and disaster recovery manager. Ransomware neutralizer. Win/Linux/Unix
Created by Halbert L. Dunn
Released 1946