In the context of using bulk API, which action should be prioritized to ensure successful migration of data?

Prioritizing thorough data validation pre-migration is essential to ensure successful migration of data when using bulk API. This process involves verifying the accuracy, completeness, and quality of the data prior to the actual migration. By conducting extensive data validation, potential issues such as duplicates, inconsistencies, or incorrect formats can be identified and addressed before data is loaded into the new system, reducing the likelihood of errors that may arise post-migration.

Data validation checks can include ensuring that data types match expected formats, that all required fields are populated, and that relationships among data entities are correctly maintained. By addressing these factors ahead of time, the integrity of data during and after the migration can be significantly enhanced, leading to a smoother transition and minimizing the need for subsequent corrections.

Other actions, such as logging the migration or deactivating workflows, can certainly aid the process, but they do not directly address the foundational quality of the data itself. Effective communication with stakeholders is also important for managing expectations and ensuring understanding, but without validated data, even the best communication cannot mitigate the potential issues that may arise during or after migration.