What is the purpose of data partitioning in storage systems?

Data partitioning in storage systems is used for:

• Performance improvement: data is divided into parts (partitions), allowing parallel processing of queries and reducing access time.
• Scalability: as the volume of data grows, partitions can be distributed across different servers or nodes, ensuring horizontal scaling.
• Simplified management: partitions can be maintained, archived, or deleted separately, making administration easier.
• Increased fault tolerance: if one partition fails, others remain accessible, improving data availability.

For example, in a database, a table can be partitioned by date or geographic feature to speed up queries and simplify storage.