Data partitioning in a DBMS refers to the practice of dividing large datasets into smaller, manageable segments, which are distributed across different physical storage locations. This technique offers several advantages. Firstly, it enhances performance by reducing the amount of data accessed during queries, thus minimizing response times. Secondly, data partitioning enables parallel processing, leading to improved system scalability and throughput. Thirdly, it optimizes data storage and retrieval operations, as each partition can be independently managed and maintained. Overall, data partitioning in a DBMS ensures efficient data management, better performance, and supports the handling of large datasets, making it a valuable strategy in modern database architectures.