What are the two types of Production validation errors?

The identification of the two types of Production validation errors as Data Source Errors and Conflict Errors highlights crucial aspects of ensuring data integrity and operational efficiency within the Relativity platform.

Data Source Errors typically arise when there are issues related to the origin or handling of the data being processed. This could involve incorrect configurations or problems accessing the necessary data sources, leading to potential inaccuracies or failures in data processing.

Conflict Errors, on the other hand, occur when there are discrepancies or contradictions within the data being validated. This can manifest in scenarios where the same records might be competing against each other due to conflicting information or when data does not align with established rules or formats.

Understanding these two types of errors is pivotal for managing workflows effectively, as they concern both the accuracy of data inputs (Data Source Errors) and the consistency and coherence of that data (Conflict Errors) during production processes. These error types are fundamental in ensuring that the data worked with within the system is reliable and conforms to the necessary standards.