The product Gobbled was conceptualized as a data integrator.
Gobbled is on a mission to make data integration and data quality pipelines a commodity.
Maintenance-free connectors you can use in minutes. Just authenticate your sources and warehouse, and get connectors that adapt to schema and API changes for you.
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.
Overcoming Data Quality Issues and Challenges
Ready-Made Data Quality Rules
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.
For more information about successful implementations of Gobbled, please get in touch.