In data management, what does partitioning help achieve?

Partitioning in data management primarily involves dividing a database or storage area into smaller, more manageable pieces. This logical separation of data areas allows for several benefits, such as improved performance, easier data management, and enhanced security. By organizing data into distinct partitions, it becomes easier to query and manage those specific segments without affecting the entirety of the data set. This separation also facilitates better maintenance, as backup and recovery can be performed on individual partitions rather than the entire dataset.

The other options do not align with the purpose of partitioning. Improving graphical interface design pertains to user interface issues rather than data structure or management. While faster internet connection speeds can enhance data access, they are unrelated to how data itself is organized. Increasing the physical size of storage is about hardware capacity rather than the logical structure of data within that storage. Thus, logical separation of data areas accurately reflects the fundamental goal of partitioning in data management.