Batch processing is a computing method where a group of tasks is collected and processed together automatically, without manual intervention. Instead of handling each task immediately as it arrives, the system accumulates multiple jobs and executes them in a single, scheduled operation. This approach is particularly useful for handling repetitive, high-volume tasks efficiently.

Common examples include:

• Generating end-of-day reports for business analytics
• Processing payroll for all employees at once
• Sending bulk email newsletters to subscriber lists
• Backing up databases during off-peak hours

The main advantages of batch processing are efficiency and resource optimization. By grouping similar tasks, systems can minimize setup time and maximize throughput. It allows servers to handle large workloads during periods of low traffic, reducing the impact on real-time operations. For web hosting, batch jobs are often scheduled via tools like cron jobs on Linux servers or Task Scheduler on Windows.

However, batch processing has limitations. It is not suitable for tasks requiring immediate results or real-time interaction. There's also a delay between job submission and completion, and errors in one job might affect others in the batch. Despite this, it remains a cornerstone of modern IT infrastructure, enabling scalable, automated workflows for businesses of all sizes.