mahutöötlus
Mahutöötlus, often translated as "volume processing" or "bulk processing" in English, refers to a computational approach that involves processing large datasets or collections of items simultaneously rather than individually. This method is employed when the efficiency gains from parallel or batch operations outweigh the potential for finer-grained, item-specific control. The core principle of mahutöötlus is to optimize operations by reducing overhead associated with setting up and managing individual tasks.
This concept is prevalent in various fields. In database management, mahutöötlus might involve performing a single
However, mahutöötlus also has limitations. It can sometimes mask individual errors or anomalies within the dataset,