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  1. Introduction to Profiles
  2. Profiling with Informatica Analyst
  3. Profiling with Informatica Developer

Column Profile Results in Informatica DeveloperColumn Profile Results

Column Profile Results in Informatica Developer
Column Profile Results

Column profile analysis provides information about data quality by highlighting value frequencies, patterns, and statistics of data.
The following table describes the profile results for each type of analysis:
Column profiling analysis generates the following profile results:
Profile Type
Profile Results
Column profile
  • Percentage and count statistics for unique and null values
  • Inferred data types
  • The data type that the data source declares for the data
  • The maximum and minimum values
  • The date and time of the most recent profile run
  • Percentage and count statistics for each unique data element in a column
  • Percentage and count statistics for each unique character pattern in a column
Primary key profile
  • Inferred primary keys
  • Key violations
Functional dependency profile
  • Inferred functional dependencies
  • Functional dependency violations
  • Percentage and count statistics for unique and null values
  • Inferred data types
  • The data type that the data source declares for the data
  • The maximum and minimum values
  • The date and time of the most recent profile run
  • Percentage and count statistics for each unique data element in a column
  • Percentage and count statistics for each unique character pattern in a column
The following image shows the column profile results:
The image shows the column profile results that include column characteristics such as the percentage and count statistics for distinct and null values, inferred datatypes, and maximum and minimum values.

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