Datamigraatioon

Datamigraatioon (often written as data migration) is the process of transferring data between storage types, formats, or computer systems. It is used during system upgrades, cloud migrations, data center consolidations, and application modernization. The goal is to preserve data integrity and availability while improving performance, scalability, or cost efficiency.

The migration typically involves assessment, data discovery, data mapping and cleansing, extraction, transformation, and loading (ETL), as well as verification and a cutover to the new environment. Validation includes data quality checks, reconciliations, and user acceptance testing. Planning addresses downtime, dependencies, rollback procedures, and security and compliance requirements.

Approaches include a big bang migration, moving all data at once, or phased migrations and ongoing replication that minimize downtime. Some projects use continuous data protection or real-time replication. Data governance, privacy, and regulatory compliance are critical considerations, as is managing data quality and lineage.

Common tools are ETL platforms, database migration services, data integration suites, and cloud-based migration tools. Data can span databases, file stores, data warehouses, and application data. Success is measured by data completeness and accuracy, minimal downtime, and a smooth transition for users and applications.