Advanced ETL Processor: |
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| Description: | Validates Dannish VAT Numbers format with support for optional member state definition. |
| Regular Expression: | ^(DK){0,1}([0-9]{2}\ ){3}[0-9]{2}$ |
| Pass: | DK11 22 33 44 |
| Fail: | DK11223344 |
The types and nature of the validations taking place can be tweaked and configured by the user. A full range of validation functions is included. Validations can be performed on the basis of data type, lists of values, and regular expressions, which can be individually changed according to the requirements.
Advanced ETL Processor: |
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| Description: | Validates Duch Car Number Plate |
| Regular Expression: | (([a-zA-Z]{3}[0-9]{3})|(\w{2}-\w{2}-\w{2})|([0-9]{2}-[a-zA-Z]{3}-[0-9]{1})|([0-9]{1}-[a-zA-Z]{3}-[0-9]{2})|([a-zA-Z]{1}-[0-9]{3}-[a-zA-Z]{2})) |
| Pass: | ABC123|||12-AB-AB|||12-ABC-1 |
| Fail: | 12ABAB|||12ABC1|||1ABC12 |
The types and nature of the validations taking place can be tweaked and configured by the user. A full range of validation functions is included. Validations can be performed on the basis of data type, lists of values, and regular expressions, which can be individually changed according to the requirements.
Visual Importer ETL saved us 25-30 hours per month. Much of that comes from being able to build in error checking into the scripting. I've even been able to script corrections that run on the fly triggered by the error checking on incoming order files.
Gene Kovacs,
Director of Technical Business Operations,
A2B
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