Data Migration
Data migration is the process of transferring data between storage systems, formats, or applications, typically involving extraction, transformation, and loading (ETL) operations. It is commonly used during system upgrades, cloud adoption, database consolidations, or application replacements to ensure data integrity and continuity. The process includes planning, mapping, cleansing, validation, and testing to minimize risks like data loss or corruption.
Developers should learn data migration when moving legacy systems to modern platforms (e.g., migrating from on-premises databases to cloud services like AWS or Azure), integrating new software, or during mergers and acquisitions to unify data sources. It is essential for maintaining business operations during IT transformations, ensuring compliance with data regulations, and enabling analytics by consolidating disparate data into a single source of truth.