To remove duplicates in mass, you can use tools and methods depending on your data type: in spreadsheets like Excel or Google Sheets, use the “Remove Duplicates” feature or formulas like `=UNIQUE(range)`; in SQL databases, use `SELECT DISTINCT`
link `DELETE` with subqueries to eliminate repeated records; in programming, Python allows `list(set(your_list))` for lists or `df.drop_duplicates()` for pandas DataFrames; for text files, Linux/macOS offers `sort file.txt | uniq > newfile.txt` and Windows PowerShell can use `Get-Content file.txt | Sort-Object | Get-Unique`. The key is identifying unique entries and filtering out repeats to efficiently clean large datasets.