What do you mean by scalability in the context of denormalization?

In the context of denormalization, scalability refers to the system's ability to efficiently handle growth in data volumes and load by reducing the number of complex queries and table joins.

Denormalization involves duplicating data to speed up read operations, which reduces the load on the database when scaling. This allows:

• Reducing the number of JOIN operations, which are costly with large data volumes.
• Distributing the load across multiple nodes or services, as data is already prepared for quick access.
• Increasing read performance, which is critical for scalable systems with a high number of queries.

However, denormalization requires additional efforts to maintain data integrity and update duplicates, which should be considered when designing a scalable architecture.