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In the era of big data, data stewards spend a large amount of time doing “data janitor” work – the time-consuming, mundane task of collecting, preparing, and cleaning disparate data. We offer the Melissa Cleanser transform for Pentaho® and Microsoft SQL Server® Integration Services (SSIS) to help automate and prepare data for the cleansing process. This empowers users to build custom data cleansing scripts for data suffering from a wide range of errors and inconsistencies. With the component, data stewards have the ability to standardize and validate inventory lists to better prep and cleanse data prior to analysis.
The Cleanser transform enables users to clean, standardize, and reformat any data type – from changing casing or capitalization, adding or removing punctuation, expanding or contracting abbreviations, and searching and replacing any parts of a string. The tool applies different cleansing operations to your data integration and warehousing efforts. The transform has six main cleansing operations:
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