Configuration Guide

10.3 HotFix 1

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Configure Cleanse Functions

In the

MDM Hub

, you can build and run cleanse functions that cleanse data.

cleanse function

is a function that the

MDM Hub

applies to a data value in a record to standardize or verify it. For example, if the data has a column for salutation, you could use a cleanse function to standardize all instances of “Doctor” to “Dr.” You can apply cleanse functions successively, or simply assign the output value to a column in the staging table.

Types of Cleanse Functions

The

MDM Hub

can have one of the following types of cleanse functions:

Cleanse function defined by the

MDM Hub

Cleanse function defined by a cleanse engine

Custom cleanse function that you define

The pre-defined functions provide access to specialized cleansing functionality, such as name and address standardization, address decomposition, gender determination, and so on. See the console for more information on the Cleanse Function tool.

Libraries

Functions are organized into

libraries

—Java libraries and user libraries, which are folders used to organize the functions that you can use in the Cleanse Functions tool in the Model workbench.

Cleanse Functions are Secure Resources

You can configure cleanse functions as secure resources and make them SECURE or PRIVATE.

Available Functions Subject to Cleanse Engine

The functions you see in the

Hub Console

depend on the cleanse engine that you use. The

MDM Hub

shows the cleanse functions that the cleanse engine makes available. Regardless of which cleanse engine you use, the overall process of data cleansing in the

MDM Hub

is the same.

Data Cleansing Configuration

Starting the Cleanse Functions Tool

Cleanse Function Types

Cleanse Function Properties

Overview of Configuring Cleanse Functions

Configuring User Cleanse Libraries

Configuring Java Cleanse Libraries

Adding Regular Expression Functions

Configure Graph Functions

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