This post is about data analysis i.e. read-only queries. Of course denormalization wouldn't hurt, and might speed things up. Normalization is about making writes easier, because you only have a single source of truth to update. Try writing into a database that has a denormalized schema... ugh.
> Denormalized tables prioritize performance and simplicity, allowing data redundancy and duplicate info for faster queries. By embracing denormalization, we can create efficient, maintainable data models that promote insightful analysis.
Yes, for read-only queries. Again, your business should not be storing data into denormalized tables. Store them in normalized tables and pull the data out into denormalized tables for data analysis.
> Denormalized tables prioritize performance and simplicity, allowing data redundancy and duplicate info for faster queries. By embracing denormalization, we can create efficient, maintainable data models that promote insightful analysis.
Yes, for read-only queries. Again, your business should not be storing data into denormalized tables. Store them in normalized tables and pull the data out into denormalized tables for data analysis.