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A data migration process involves selecting, preparing, extracting, and changing data in order to permanently move it from one software system to another. Data may reside in many locations across a business, which requires detailed planning before starting the migration. Problems can occur in migrations around discovery and scope, being able to plan the future state, support business continuity and ensure security and compliance. Examples include data in files across many different devices, data in operating systems, relational databases or unstructured databases, or data lakes.
Solidatus data lineage supports data migration, by helping companies visualize and map the before and after view, so crucial dependencies of systems on one another – based on where data flows between them – are known and controlled during migration. This helps organisations plan timing, sequence, and priorities, by knowing what data and systems depend on one another. Solidatus also helps organizations see a predictive view of how data will flow once the new systems are put in.