An application for randomly generating telecommunication payment data.
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Randomly simulated data is particularly useful when it's real world counterpart is hard access due to complexity, privacy and security reasons. Moreover, randomly simulated data has additional benefits including reproducibility, scalability and controllability.
This application aims to simulate telecommunication payments using random number generation. It includes typical transaction level relationships and behaviours amongst the user, device, ip, and card entities. It can be used in place of real world telecommunication payments for prototyping solutions and as an education tool.
The data generation algorithm works by first generating user level telecom payments data. Afterwards, the user level data is exploded to transaction level, and any inconsistencies within the data model are removed. Finally, the transaction status and error codes are generated using underlying features within the transaction level data.
Content type
Image
Digest
sha256:f1af5605e…
Size
381 MB
Last updated
about 13 hours ago
docker pull oislen/randomtelecompayments