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: reports Null/Empty value counts, duplicate record counts..etc  
#Table Metadata: Null/empty value counts, duplicate record counts, etc.
#The Column: analyzes and reports any discrepancies in the data (example: data in the wrong field, max and min value in that column..etc)
#Column Metadata: Reports data discrepancies.
#The Individual Values/Patterns/Words/Counts/Lengths: The Iterators allows you to iterate through every value/Pattern/count/word/length in a column and give you counts of how  many times that value/count/pattern/ length or word appears in that column
#Individual Values/Pattern Metadata: Iterate through columns for counts/frequency of the target.
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Revision as of 00:19, 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 levels of profiling:

  1. The Table: reports Null/Empty value counts, duplicate record counts..etc
  2. The Column: analyzes and reports any discrepancies in the data (example: data in the wrong field, max and min value in that column..etc)
  3. The Individual Values/Patterns/Words/Counts/Lengths: The Iterators allows you to iterate through every value/Pattern/count/word/length in a column and give you counts of how many times that value/count/pattern/ length or word appears in that column


Current Build

Released January 2015

Build 2516

Notices