Out-of-the-box Cleanse Functions

You can use cleanse functions to cleanse data and achieve better data quality.

This page lists additional cleanse functions that assist in cleansing the data and thereby achieving better data quality. You can directly use the functions without worrying about their implementation.

Note: Ensure the following when using the cleanse functions:
  • If Full Name/Last Name/Middle Name/Initials have multiple values, only the first Operational Value (OV) is considered.
  • For input mapping and output mapping, only simple attributes are considered.
  • All cleansers (namely, address cleanser, full name cleanser, pattern based cleanser, initials cleanser, phone cleanser, email cleanser, string cleanser, S3 cleanser, HTTP cleanser, and custom cleanser) can generate the desired output as per the given pattern and add an attribute with not just the ReltioCleanser crosswalk. You can use any crosswalk as mentioned under, cleanseConfig.sequence[0].chain[0].resultingValuesSourceTypeUri = "configuration/sources/ReltioCleanser".