Planning and Auditing: Define the migration goal, evaluate existing data assets (audit/profile), and create a comprehensive backup of all data before starting. Choosing the Approach: Select between "big bang" (all data at once, higher risk) or "trickle" (phased approach, lower risk) migrations. Extraction and Transformation: Move data out of the current system and transform it to match the new schema or database structure. Loading and Validation: Transfer the data to the new system and perform rigorous testing (live tests) to ensure completeness, accuracy, and functionality in the new environment. Tools Used: Utilize cloud-based tools (like AWS/Azure migration services), on-premises tools, or custom-built scripts.