Define "Data Migration" in the context of the Caboodle framework.

In the context of the Caboodle framework, data migration is defined as the transfer of data from one system to another. This process is crucial when organizations decide to move from an old system to a new one, integrate different systems, or upgrade their infrastructure. It involves not just the act of moving data but also ensuring that the data remains intact, accurate, and usable in the new environment.

Data migration encompasses various stages, including planning, extraction, transformation, loading, and validation. During this process, it is essential to have a clear strategy to minimize downtime and data loss, ensuring that all necessary data types, structures, and relationships are preserved. In Caboodle, which focuses on healthcare data integration and analytics, effective data migration allows for seamless transitions between different platforms, enabling better data utilization and integration across various applications.

The other options do not accurately capture the essence of data migration. Updating existing databases refers to modifications within the same system rather than transferring data. Removing outdated data pertains to data cleansing and management, which is a separate process. Lastly, backing up data relates to creating copies for safety purposes rather than transferring data between systems.