Algorithmic deduplication is the process of using algorithms to identify and remove duplicate data entries within a dataset. This ensures data accuracy and consistency, reduces storage costs, and improves the efficiency of data processing. Deduplication algorithms analyze data patterns and use various techniques to detect and eliminate redundancies.
Our strategy for handling software data cleansing and data deduplication involves a combination of automated processes and manual verification to…