Data Profiling Task
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A Data Profiling Task is a data analysis task that examines the data available in an existing data source.
- Context:
- It can support a Data Mining Task.
- See: Descriptive Statistics, Data Quality, Data Integration, Master Data Management, Data Governance, Descriptive Statistics.
References
2015
- (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/data_profiling Retrieved:2015-1-11.
- 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 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: