What type of processing involves handling data in large batches at a later time?

Batch processing involves handling large volumes of data at once rather than individually or in real-time. This approach is particularly effective for tasks that can be scheduled and do not require immediate processing. In this type of processing, data is collected over a period of time and then processed as a single unit, allowing for efficiency since it minimizes the overhead associated with individual transactions.

Batch processing is commonly used in scenarios such as payroll systems, bank transactions, and data analysis tasks, where the data can be processed in groups rather than needing instant feedback or action. This method is beneficial in optimizing resource use, as it allows for significant operations to be performed during non-peak hours, thus improving overall system performance.

Other options involve different processing methods. Online processing refers to immediate processing where transactions are processed as they occur. Real-time processing also demands instant processing capabilities, catering to operations that require a quick response. Distributed processing distributes tasks across multiple systems but doesn't inherently involve handling data in large batches.