In many large-scale solutions, data is divided into partitions that can be managed and accessed separately. Partitioning can improve scalability, reduce contention, and optimize performance. It can also provide a mechanism for dividing data by usage pattern. For example, you can archive older data in cheaper data storage.
https://learn.microsoft.com/en-us/azure/architecture/best-practices/data-partitioning
