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Indicators in this group use the Soundex algorithm built in the DBMS.
Those indicators index records by sounds. This way, records with the same English pronunciation are encoded to the same representation so that they can be matched despite minor differences in spelling.
- Soundex Frequency: computes the number of most frequent distinct records relative to the total number of records having the same pronunciation.
- Soundex Low Frequency: computes the number of less frequent distinct records relative to the total number of records having the same pronunciation.
To be able to use Soundex frequency statistics indicators on PostgreSQL,
Amazon for PostgreSQL and Amazon Redshift, install an extension into the PostgreSQL
database using the
CREATE EXTENSION fuzzystrmatch; query.
For more information, see PostgreSQL documentation.
To be able to use Soundex frequency statistics indicators on Amazon Redshift, you can also create a custom user-defined function.
For more information, see Creating user-defined functions.
You can only use Soundex frequency statistics indicators on Snowflake with the Java engine.
Chinese characters are only supported by the SQL engine.
Due to some limitation in Teradata soundex implementation, you may not be able to drill down the results of profiling Teradata with this indicator.
The following table shows the indicators that you can select in any database:
|Supported data types with the Java analysis engine
|Supported data types with the SQL analysis engine
|Soundex Frequency Table
|Soundex Low Frequency Table