What is data schema evolution and why is it important?

What is data schema evolution and why is it important?

Data schema evolution refers to the process of changing a database schema over time to accommodate new requirements. It's important because it allows systems to adapt to changing data needs without losing existing data.

Can you give me an example of schema evolution in a real-world application?

Sure! For instance, in an e-commerce application, if you initially have a 'products' table with just 'name' and 'price', you might later evolve it to include 'category', 'stock', and 'description' as your business grows.

What challenges might arise during schema evolution?

Challenges include data migration issues, maintaining data integrity, and ensuring that existing applications continue to function correctly after changes.

How can I manage schema changes effectively?

You can manage schema changes by using version control for your database, implementing migration scripts, and thoroughly testing changes in a staging environment before production.