Batch jobs and Data Reviewer
Batch jobs are groups of checks that can be saved and run against the data. The checks can be organized and combined into any number of groups within a batch job depending on how you want to classify them. For example, you can divide checks into groups called Transportation Network and Hydrographic Features to indicate that the checks in these groups relate to these aspects of your database. The checks you add to each of these groups can be applied to different feature classes and can therefore appear in the same group a number of times, depending on the relationships you are evaluating in your data.
Design of the batch job should be the duty of a technical lead in an organization. The batch job can be thought of as a quality control model, a way to encapsulate and distribute quality control and validation information. The batch job allows users in different locations to utilize a consistent set of automated checks when validating their data.
The checks are divided into categories in the Reviewer Batch Job Manager as follows:
Individual checks include
Database Validation Checks
Duplicate Geometry Checks
Feature on Feature Checks
Spatial Parameter Evaluation Checks
Z Value Checks
Once you have configured all the checks you want to include with a batch job, you can save it in a specified directory as a Reviewer Batch Job file (*.rbj). The Reviewer Batch Job Manager allows you to work with the batch jobs by modifying which checks are included with them, changing the workspace, and validating the checks in your batch job.