Advantages of Cerebrus

Cerebrus provides a user interface which is simple to use even for non-technical users. So, more control can be given to the business user for defining data quality rules without getting involved in the technical aspects happening in the background for data validation. The user has the ability to upload a sample data file, based on which Cerebrus will infer many of the details like column name, data type etc. In addition, the user will be able to define more validation rules such as uniqueness, applicable values, valid range, expected pattern, field length etc. This validation metadata could be persisted into a database, which could be used multiple times to validate the actual source data. Upon running the data quality engine over the source data using already registered metadata, valid and invalid records are separated into different files/tables. Another catch is that an audit file is also generated which will capture the detailed information about validation failures. This audit file is leveraged to provide multiple insights to the user like most successful column, most frequently failing column, most frequently failing validation constraint etc.