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Showing 1 to 1 of 1 for “"Profilerstellung für Daten"”.
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Data profiling - efficient discovery of dependencies
Data profiling is the computer science discipline of analyzing a given dataset for its metadata. The types of metadata range from basic statistics, such as tuple counts, column aggregations, and value distributions, to much more complex structures, in particular inclusion dependencies (INDs), …