Accelerator Guide

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Spain General Data Cleansing Rules

Use the general data cleansing rules to identify the type of information contained in input fields.

Find the general data cleansing rules in the following repository location:

[Informatica_DQ_Content]Rules\General_Data_Cleansing

The following table describes the general data cleansing rules in the Spain accelerator:

Name	Description
rule_ESP_NER_Field_Identification	Identifies the type of information contained in an input field. The rule can identify names, Personal IDs, company names, dates, and Spanish address data. The rule returns a label that describes the type of input data. The rule uses probabilistic matching techniques to identify the types of information.

The Spain accelerator depends on the following general data cleansing rules from the Core accelerator:

rule_Assign_DQ_ElementResultStatus_Description

rule_Assign_DQ_GeocodingStatus_Description

rule_Assign_DQ_Match_Code_Descriptions

rule_Remove_Extra_Spaces

rule_Remove_Leading_Zero

rule_Remove_Limited_Punctuation

rule_Remove_Non_Numbers

rule_Remove_Punctuation_and_Space

rule_Remove_Punctuation

rule_Replace_limited_Punct_with_Space

rule_Translate_Diacritic_Characters