tStandardizeRow - 7.3


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Data Governance > Third-party systems > Data Quality components > Standardization components
Data Quality and Preparation > Third-party systems > Data Quality components > Standardization components
Design and Development > Third-party systems > Data Quality components > Standardization components
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Normalizes the incoming data in a separate XML or JSON data flow to separate or standardize the rule-compliant data from the non-compliant data.

tStandardizeRow tokenizes the data flow it has received from the preceding component and applies user-defined parser rules to analyze the data. Based on this analysis, this component normalizes and writes analyzed data in a separate data flow and tags them using the user-defined rule names. It does not make any changes on your raw data.

The standardization option adds a supplementary column to the output flow where the normalized data are then standardized.

The Java library ANTLR is used to parse and tokenize the incoming data. For further information about ANTLR, see the site


In local mode, Apache Spark 1.6, 2.0, 2.3, 2.4 and 3.0 are supported.

Restriction: This component is enhanced from the Studio version 7.3. If your indexes were created with version 7.2 or lower, you need to update them. The location of the migration procedure depends on the Studio installation:
  • With the installer: /addons/scripts/Lucene_Migration_Tool/README.md
  • With no installer: in the license email, click the link in Migration tool for Lucene Indexes from version 4 to version 8

For more technologies supported by Talend, see Talend components.

Depending on the Talend product you are using, this component can be used in one, some or all of the following Job frameworks: