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Data Quality Profiling

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Data Quality Profiling - Data Quality Profiling is the process of analyzing a database in relation to a Data Quality Domain, to identify and prioritize data quality problems. The results can include: 

- Summaries (with counts and percentages) describing...    - completeness of datasets and data records    - problems organized by importance    - the distribution of problems in a dataset

- Details - lists of...    - missing data records    - data problems in existing records

Data quality profiling can be useful when planning and managing

data cleanup projects.

Brian Marshall, 19 April 2010 08:42:57, External






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