Profiler Object: Difference between revisions

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The Profiler is a data quality tool that provides statistical analysis and assessment of your data quality needs for consistency, uniqueness and correctness.
The Profiler is a data quality tool that provides statistical analysis and assessment of your data quality needs for consistency, uniqueness and correctness.


Melissa Data Profiler provides different levels of profiling:
Melissa Data Profiler provides different types of Metadata including:
#The Table: Null/empty value counts, duplicate record counts, etc.
#Table Metadata: Null/empty value counts, duplicate record counts, etc.
#The Column: Reports data discrepancies.
#Column Metadata: Reports data discrepancies.
#The Individual Values/Patterns: Iterate through columns for counts/frequency of the target.
#Individual Values/Pattern Metadata: Iterate through columns for counts/frequency of the target.
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Revision as of 00:15, 3 March 2015

The Profiler is a data quality tool that provides statistical analysis and assessment of your data quality needs for consistency, uniqueness and correctness.

Melissa Data Profiler provides different types of Metadata including:

  1. Table Metadata: Null/empty value counts, duplicate record counts, etc.
  2. Column Metadata: Reports data discrepancies.
  3. Individual Values/Pattern Metadata: Iterate through columns for counts/frequency of the target.


Current Build

Released January 2015

Build 2516

Notices