What are the trade-offs of flattening data in databases?

What are the trade-offs of flattening data in databases?

Flattening data can improve read performance and simplify queries, but it may lead to data redundancy and increased storage.

Can you explain how it affects data integrity?

Flattening can compromise data integrity since updates to duplicated data must be made in multiple places, increasing the risk of inconsistencies.

What are some scenarios where flattening is beneficial?

Flattening is beneficial in read-heavy applications, like reporting systems, where quick access to data is crucial.

Are there alternatives to flattening data?

Yes, alternatives include normalization, which reduces redundancy by organizing data into related tables.

How do I decide whether to flatten or normalize my data?

Consider your application's read vs. write patterns, data integrity needs, and performance requirements to make the best choice.