Gobbled

PySpark, Docker, auto generated code generation engine

Run on Cloud - AWS, Azure, GCP and local deployment modes. Flexibility to use Gobbled either as a product or a package deployed on Cloud.

By using ready-made data quality rules, the effort for implementation is reduced considerably because the resources for development, documentation, and verification are largely eliminated.

Users have an option of uploading a list of custom rules/functions with regular expressions, giving the user the flexibility to add more functions to their rules and thereby building a bouquet of rules as per their datasets.

Data Quality Rules can be uploaded in the form of regular expressions. This is a unique scenario where customers have the liberty of adding additional and custom functions and rules as per the dataset and as per requirement.