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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").
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 ...
Formally, a "database" refers to a set of related data accessed through the use of a "database management system" (DBMS), which is an integrated set of computer software that allows users to interact with one or more databases and provides access to all of the data contained in the database (although restrictions may exist that limit access to particular data).
Data erasure (sometimes referred to as data clearing, data wiping, or data destruction) is a software-based method of data sanitization that aims to completely destroy all electronic data residing on a hard disk drive or other digital media by overwriting data onto all sectors of the device in an irreversible process. By overwriting the data on ...
A browser's cache stores temporary website files which allows the site to load faster in future sessions. This data will be recreated every time you visit the webpage, though at times it can become corrupted. Clearing the cache deletes these files and fixes problems like outdated pages, websites freezing, and pages not loading or being ...
CCleaner (/ ˈ s iː ˌ k l iː n ər /; originally meaning "Crap Cleaner"), [6] developed by Piriform Software, is a utility used to clean potentially unwanted files and invalid Windows Registry entries from a computer. It is one of the longest-established system cleaners, first launched in 2004. [7]
This data can help a carmaker determine its hiring, investment and production goals. For instance, when setting monthly production targets, a firm will review data on auto sales from the Bureau of ...
Data quality assurance is the process of data profiling to discover inconsistencies and other anomalies in the data, as well as performing data cleansing [17] [18] activities (e.g. removing outliers, missing data interpolation) to improve the data quality.