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  2. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").

  3. List of data-erasing software - Wikipedia

    en.wikipedia.org/wiki/List_of_data-erasing_software

    Commercial proprietary software: OS X: Yes external [6]? Eraser: Heidi Computers Limited GNU GPL v3: Windows: Yes external [7]? HDDerase: University of California, San Diego: Freeware: OS independent, based on DOS: No internal [8]? hdparm: Mark Lord BSD license: Linux: Yes internal [9] not directly supported without scripting nwipe: Martijn van ...

  4. Data scrubbing - Wikipedia

    en.wikipedia.org/wiki/Data_scrubbing

    Data integrity is a high-priority concern in writing, reading, storage, transmission, or processing of data in computer operating systems and in computer storage and data transmission systems. However, only a few of the currently existing and used file systems provide sufficient protection against data corruption .

  5. Best HRIS for Small Business: Compare Top HR Software - AOL

    www.aol.com/finance/best-hris-small-business...

    Zoho People: A budget-friendly small business HRIS. Zoho People is the best HRIS system for small companies looking for low-cost or free HRIS software. This all-in-one HR management platform ...

  6. Metadata removal tool - Wikipedia

    en.wikipedia.org/wiki/Metadata_removal_tool

    Metadata removal tool or metadata scrubber is a type of privacy software built to protect the privacy of its users by removing potentially privacy-compromising metadata from files before they are shared with others, e.g., by sending them as e-mail attachments or by posting them on the Web.

  7. Data sanitization - Wikipedia

    en.wikipedia.org/wiki/Data_sanitization

    Data sanitization policy must be comprehensive and include data levels and correlating sanitization methods. Any data sanitization policy created must be comprehensive and include all forms of media to include soft- and hard-copy data. Categories of data should also be defined so that appropriate sanitization levels will be defined under a ...

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