Personally, I rely on trusted tools like rsync or cloud platforms with built-in error-checking features. Before initiating any transfer, I create redundant backups to safeguard against potential loss. To verify the success of the transfer, I generate and compare checksums or hashes (like MD5 or SHA256), ensuring the data remains unaltered during transit. Additionally, I prefer using wired, stable connections over wireless to minimize interruptions. Taking these precautions has consistently helped me handle large data transfers without corruption or data loss.

Regular backups and real-time replication. Purge data to be transferred after backup and minimise database usage (do the transfer out of hours in order to minimise user and data disruption)

Large-scale data transfers always carry a risk of corruption. Here's how to minimize that risk: Reliable Transfer Tools: Utilize tools with robust error-checking mechanisms, such as checksums and error correction codes. Data Redundancy: Create multiple backups of the data before initiating the transfer. Post-Transfer Verification: Verify the integrity of transferred data using checksums or hashes to ensure no alterations occurred. Incremental Transfers: Break down large transfers into smaller, more manageable chunks to reduce the impact of potential errors. Regular Monitoring: Monitor the transfer process closely to identify and address any issues promptly.