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Deprecated Rules
The following table lists rules in deprecated status for this release. Deprecated rules are available for run-time backward compatibility.
IMPORTANT!  Profiles which use a deprecated rules can be executed, edited and saved. However, new profiles cannot be created using deprecated rules.
Rule Name
Description
DistinctValues
Writes all the distinct (unique) values found in a source dataset into a file.
Metrics are available in Data Discovery.
DuplicateClusters (Fuzzy Matching)
Provides you the ability to identify potentially duplicate records by evaluating multiple columns at the same time by using the fuzzy matching rules and match score filter.
DuplicateValues
Writes all the duplicate values found in a source dataset into a file.
Metrics are available in Data Discovery.
EqualRangeBinning
Calculates equal width ranges across the field values and counts the number of values in each range.
Metrics are available in Data Discovery.
Is Blank
Returns true if a field is blank, returns false otherwise. See ReplaceValue.
Is Duplicate
Returns true if a field is duplicated, returns false otherwise.
Is Null
Returns true if a field is null, returns false otherwise. See ReplaceValue.
Maximum
Calculates the maximum value of a field.
Metrics are available in Data Discovery.
Median
Calculates the median (middle of a sorted list) value of the field.
Metrics are available in Data Discovery.
Minimum
Calculates the minimum value of a field.
Metrics are available in Data Discovery.
Mode
Calculates the mode (most frequently occurring value) of the field.
Metrics are available in Data Discovery.
MostFrequentValues
Calculates the most frequent values of a field.
Metrics are available in Data Discovery.
PhoneticStringEncode
Calculates the most frequently occurring values of a field by phonetically encoding the string field using a specified algorithm.
StandardizeFormat
Changes the format of fields that contain values such as zip codes and phone numbers.
Statistics
Calculates the statistics for a numeric field: Min, Max, Mean, Median, Mode, Standard Deviation, Sum, Variance.
Metrics are available in Data Discovery.
String Encode Caverphone
This string rule creates a field with its phonetically encoded value which can be used as an index key or simply be used with IsNotDuplicate for finding out duplicates.
String Encode Double-Metaphone
This string rule creates a field with its phonetically encoded value which can be used as an index key or simply be used with IsNotDuplicate for finding out duplicates.
String Encode Metaphone
This string rule creates a field with its phonetically encoded value which can be used as an index key or simply be used with IsNotDuplicate for finding out duplicates.
String Encode RefinedSoundex
This string rule creates a field with its phonetically encoded value which can be used as an index key or simply be used with IsNotDuplicate for finding out duplicates.
String Encode Soundex
This string rule creates a field with its phonetically encoded value which can be used as an index key or simply be used with IsNotDuplicate for finding out duplicates.
String To Date
Converts a String field to a Date value populating a new field.
String To Double
Converts a String field to a Double value populating a new field.
String To Float
Converts a String field to a Float value populating a new field.
String To Int
Converts a String field to a Integer value populating a new field.
String To Long
Converts a String field to a Long value populating a new field.
String To Numeric
Converts a String field to a Numeric value populating a new field.
String To Time
Converts a String field to a Time value populating a new field.
String To TimeStamp
Converts a String field to a TimeStamp value populating a new field.
String Length
Calculates the length of a string field populating a derived field.
StringUpperCase
Converts all characters in a string field to uppercase.
StringLowerCase
Converts all characters in a string field to lowercase.
Sum
Calculate the sum of a field.
Metrics are available in Data Discovery.
Standard Deviation
Estimates standard deviation, a measure of how widely values are dispersed from the average value (the mean).
Metrics are available in Data Discovery.
Variance
Indicates how possible values are spread around the expected value.
Metrics are available in Data Discovery.
 
 
Last modified date: 04/17/2026