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- Data_cleansing abstract "Data cleansing, data cleaning or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database. Used mainly in databases, the term refers to identifying incomplete, incorrect, inaccurate, irrelevant, etc. parts of the data and then replacing, modifying, or deleting this dirty data or coarse data.After cleansing, a data set will be consistent with other similar data sets in the system. The inconsistencies detected or removed may have been originally caused by user entry errors, by corruption in transmission or storage, or by different data dictionary definitions of similar entities in different stores.Data cleansing differs from data validation in that validation almost invariably means data is rejected from the system at entry and is performed at entry time, rather than on batches of data.The actual process of data cleansing may involve removing typographical errors or validating and correcting values against a known list of entities. The validation may be strict (such as rejecting any address that does not have a valid postal code) or fuzzy (such as correcting records that partially match existing, known records).Some data cleansing solutions will clean data by cross checking with a validated data set. Also data enhancement, where data is made more complete by adding related information, is a common data cleansing practice. For example, appending addresses with phone numbers related to that address.Data cleansing may also involve activities like, harmonization of data, and standardization of data. For example, harmonization of short codes (St, rd etc.) to actual words (street, road). Standardization of data is a means of changing a reference data set to a new standard, ex, use of standard codes.".
- Data_cleansing wikiPageExternalLink article.do?command=viewArticleBasic&articleId=78230.
- Data_cleansing wikiPageExternalLink 1012952-1.html.
- Data_cleansing wikiPageID "3575651".
- Data_cleansing wikiPageRevisionID "603189821".
- Data_cleansing hasPhotoCollection Data_cleansing.
- Data_cleansing subject Category:Business_intelligence.
- Data_cleansing subject Category:Data_quality.
- Data_cleansing comment "Data cleansing, data cleaning or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database. Used mainly in databases, the term refers to identifying incomplete, incorrect, inaccurate, irrelevant, etc. parts of the data and then replacing, modifying, or deleting this dirty data or coarse data.After cleansing, a data set will be consistent with other similar data sets in the system.".
- Data_cleansing label "Bonifica (informatica)".
- Data_cleansing label "Data cleansing".
- Data_cleansing label "Datenbereinigung".
- Data_cleansing label "Limpieza de datos".
- Data_cleansing label "Nettoyage de données".
- Data_cleansing label "Очистка данных".
- Data_cleansing label "数据清理".
- Data_cleansing sameAs Datenbereinigung.
- Data_cleansing sameAs Limpieza_de_datos.
- Data_cleansing sameAs Nettoyage_de_données.
- Data_cleansing sameAs Bonifica_(informatica).
- Data_cleansing sameAs m.09mlf2.
- Data_cleansing sameAs Q1172378.
- Data_cleansing sameAs Q1172378.
- Data_cleansing wasDerivedFrom Data_cleansing?oldid=603189821.
- Data_cleansing isPrimaryTopicOf Data_cleansing.