What type of data processing is characteristic of "batch processing"?

The characteristic of "batch processing" is best represented by the notion of processing data in large blocks over a period rather than handling individual records one at a time. This method involves collecting data over a specific duration and then processing it all at once, which optimizes resource usage and allows for efficient management of large datasets.

Batch processing is commonly used in scenarios where immediate data processing is not required, such as payroll systems, end-of-day sales processing, and data transformations. By accumulating data and then executing a comprehensive operation, organizations can facilitate tasks that might otherwise be resource-intensive if done in a real-time or piecemeal fashion. This approach contrasts with real-time processing or continuous workflows, which aim to handle data instantly or in smaller, ongoing increments.