The idea of invoking data quality processes at extract, transform and load (ETL) time is a compelling one. It is a good time to apply validation, transformation, filtering or standardization in the interest of data quality. Disk I/O is one of the most expensive processes actions and because that has already been completed, it makes sense to subject the data to multiple processes prior to writing it back or putting it out through a network interface. Converging includes:
Design time integration: The functions are available in a palette of transformations at the developer's finger tips to support a diversity of transformations, including those relevant to data quality.
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