schema-evolution

Vocabulary Word

Definition

'Schema-evolution' refers to the ability to modify the schema of a database to fit with new data requirements, all while the database is still in use. It's about keeping your database fit and adaptable.

Examples in Different Contexts

During data migration, 'schema evolution' is the practice of adapting the schema of the source database to match the target database's schema, facilitating data transfer without loss. A data migration specialist might explain, 'Schema evolution is a critical step in ensuring that migrated data fits perfectly into the new database structure.'

Practice Scenarios

Business

Scenario:

As we're escalating our business operations, we anticipate generating unprecedented customer data. It's vital we optimise our database accordingly.

Response:

In order to cater to our growing business needs and manage the new customer data efficiently, I agree that we should plan a schema-evolution.

Tech

Scenario:

Our data sources keep growing and the existing database design can't handle the volume effectively. We'd need to tweak it to adapt to these new requirements.

Response:

To keep up with the growing data sources, let's plan to implement a schema-evolution strategy to transform the database design.