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- Data_profiling abstract "Data profiling is the process of examining the data available in an existing data source (e.g. a database or a file) and collecting statistics and information about that data. The purpose of these statistics may be to: Find out whether existing data can easily be used for other purposes Improve the ability to search the data by tagging it with keywords, descriptions, or assigning it to a category Give metrics on data quality including whether the data conforms to particular standards or patterns Assess the risk involved in integrating data for new applications, including the challenges of joins Assess whether metadata accurately describes the actual values in the source database Understanding data challenges early in any data intensive project, so that late project surprises are avoided. Finding data problems late in the project can lead to delays and cost overruns. Have an enterprise view of all data, for uses such as master data management where key data is needed, or data governance for improving data quality.".
- Data_profiling wikiPageID "794330".
- Data_profiling wikiPageRevisionID "591729089".
- Data_profiling hasPhotoCollection Data_profiling.
- Data_profiling subject Category:Data_management.
- Data_profiling subject Category:Data_quality.
- Data_profiling type Genre.
- Data_profiling type MusicGenre.
- Data_profiling type TopicalConcept.
- Data_profiling type Concept.
- Data_profiling comment "Data profiling is the process of examining the data available in an existing data source (e.g. a database or a file) and collecting statistics and information about that data.".
- Data_profiling label "Data profiling".
- Data_profiling label "Data profiling".
- Data_profiling label "Data-Profiling".
- Data_profiling sameAs Data-Profiling.
- Data_profiling sameAs Data_profiling.
- Data_profiling sameAs m.03cljw.
- Data_profiling sameAs Q1172167.
- Data_profiling sameAs Q1172167.
- Data_profiling wasDerivedFrom Data_profiling?oldid=591729089.
- Data_profiling isPrimaryTopicOf Data_profiling.