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The Schema Evolution Strategy enables organizations to implement database changes gradually and with minimal risk while maintaining the stability of current systems. This method promotes efficiency and flexibility in data processing.
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A schema evolution strategy describes how data structures change safely while old and new applications continue to work together.
It emerged from the practical problem of long-lived databases and distributed systems: structures must evolve without breaking running clients. Martin Fowler discussed this connection as evolutionary database design.
Treat every change as a contract: define compatibility, introduce it incrementally, migrate data, and remove old fields only after a transition period.
Old and new components must be able to work together.
A migration moves existing data into the new structure.
Obsolete structures are removed only after dependencies have gone.
An evolution strategy reduces release outage risk and enables continuous change. It makes transitions, backward compatibility, and cleanup work planable.
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