ETL tools naturally have small built-in data cleaning capabilities but permit the user to identify cleaning functionality via a proprietary API. There is typically no data analysis maintain to robotically perceive data errors and inconsistencies. However, users can realize such logic with the metadata maintained and by determining content characteristics with the assist of aggregation functions. Offered transformation library wraps various data transformation and cleaning requirements, such as data type conversions, string functions, arithmetic, scientific and statistical functions, etc. Extraction of values from free-form traits is not entirely automatic but the user has to identify the delimiters separating sub-values.
Basically, ETL application has been intended for loading the information from the source systems, transferring them to data sets, and in result, loading those transformed data to target data warehouse or database. ETL solution is characterized by easiness of operating and a high level of scalability, which has been obtained because of the exclusive grid architecture which the platform is based on.
The need of the hour is for ETL Tools that are intended to limit the manual inspection of data and is extensible enough to be reused with other data sources. The tool should be able of performing data cleaning actions in combination with schema connected data transformations based on complete metadata. Declarative mapping functions for data cleaning should also be components that can be used with more than one data source or query function. The etl tool should support workflow communications and perform data transformation steps for several sources proficiently and consistently.
Few ETL tools offered for data cleaning are focused upon precise types of data cleaning such as duplicate elimination or identification of errors in names and addresses. Hence it becomes necessary to support these tools with other complementary tools for a more efficient data cleaning process. However, this attempt too, proves useless as many of these ETL Tools undergo from interoperability troubles.
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