What are some best practices for data migration to avoid data loss?
Data migration is the process of transferring data from one system to another, often as part of an IT upgrade, consolidation, or integration. Data migration can be complex, time-consuming, and risky, especially if you have large volumes of data, multiple sources and destinations, or different formats and structures. To avoid data loss, corruption, or inconsistency during data migration, you need to follow some best practices that ensure the quality, security, and integrity of your data. Here are some of the most important ones.