Transliteration as an ETL job using InfoSphere DataStage Java stages and ICU4J
Integrating Java transliteration module with the Java transformer stage of DataStage
From the developerWorks archives
Date archived: January 13, 2017 | First published: June 16, 2011
With ever growing importance for data quality in growth markets, there is an immediate need to cleanse dirty, unstructured data. However one of the challenges during this exercise is that countries can have multiple languages that create a challenge for effectively handling linguistic data. For example, in India, the official language of each state is different and data is available in both English and local languages, which compounds the problem of data consistency. This article describes how to bring about consistency during the transliteration process, and to use IBM® InfoSphere® Information Server DataStage® to prepare linguistic data as part of an extract, then transform and load an (ETL) scenario.
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