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'''Data review''' is the final step in the process, which focuses on ensuring the output data meets the transformation requirements. It is typically the business user or final end-user of the data that performs this step. Any anomalies or errors in the data that are found and communicated back to the developer or data analyst as new requirements to be implemented in the transformation process.<ref name="cio.com"/>
==Types of Data
===Batch Data Transformation===
Traditionally, data transformation has been a bulk or batch process,<ref name="tdwi.org">TDWI. 10 Rules for Real-Time Data Integration. Retrieved from: https://tdwi.org/Articles/2012/12/11/10-Rules-Real-Time-Data-Integration.aspx?Page=1</ref> whereby developers write code or implement transformation rules in a data integration tool, and then execute that code or those rules on large volumes of data.<ref name="andrefreitas.org">Tope Omitola, Andr´e Freitas, Edward Curry, Sean O'Riain, Nicholas Gibbins, and Nigel Shadbolt. Capturing Interactive Data Transformation Operations using Provenance Workflows Retrieved from: http://andrefreitas.org/papers/preprint_capturing%20interactive_data_transformation_eswc_highlights.pdf</ref> This process can follow the linear set of steps as described in the data transformation process above.
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