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2. Data corruption - Wikipedia

   en.wikipedia.org/wiki/Data_corruption

   Data corruption. Data corruption refers to errors in computer data that occur during writing, reading, storage, transmission, or processing, which introduce unintended changes to the original data. Computer, transmission, and storage systems use a number of measures to provide end-to-end data integrity, or lack of errors.

3. Recovery Toolbox - Wikipedia

   en.wikipedia.org/wiki/Recovery_Toolbox

   Recovery Toolbox is a family of tools and online services for recovering corrupted files, file formats, and recovering passwords for various programs. History [ edit ] Recovery Toolbox was created by Recovery Toolbox, Inc., which has developed software for repairing damaged files since 2003.

4. Data recovery - Wikipedia

   en.wikipedia.org/wiki/Data_recovery

   Data recovery. In computing, data recovery is a process of retrieving deleted, inaccessible, lost, corrupted, damaged, or formatted data from secondary storage, removable media or files, when the data stored in them cannot be accessed in a usual way. [1]

5. Add, replace or remove AOL account recovery info

   help.aol.com/articles/add-or-update-aol-account...

   Call paid premium support at 1-800-358-4860 to get live expert help from AOL Customer Care. Find out how to add or delete a recovery mobile phone number or alternate email address from your AOL account.

6. Access Database Engine - Wikipedia

   en.wikipedia.org/wiki/Access_Database_Engine

   The Access Database Engine (also Office Access Connectivity Engine or ACE and formerly Microsoft Jet Database Engine, Microsoft JET Engine or simply Jet) is a database engine on which several Microsoft products have been built. The first version of Jet was developed in 1992, consisting of three modules which could be used to manipulate a database.

7. Data cleansing - Wikipedia

   en.wikipedia.org/wiki/Data_cleansing

   Data cleansing. Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data. [1]