What is the role and purpose of data partitioning in storage systems?

Data partitioning is a method of dividing large volumes of data into smaller, logically isolated parts (partitions). In storage systems, it helps to:

• Improve performance by reducing the amount of data processed in a single query.
• Simplify data management, for example, by deleting or archiving individual partitions.
• Increase scalability by distributing partitions across different nodes or disks.
• Reduce response time and increase availability, as operations can be performed in parallel on different partitions.

Example: in a database, a table can be partitioned by date so that queries for a specific period are processed faster.