Batch processing is a method computers use to periodically complete high-volume, repetitive data jobs, processing tasks like backups, filtering, and sorting in batches, often during off-peak times, to utilize computing resources more efficiently. This approach minimizes human interaction, making repetitive tasks more efficient and reducing the stress on systems.
Batch processing is widely used across various industries, demonstrating its versatility and applicability. In the
Batch processing and real-time processing serve different purposes and are suited for different scenarios. Batch processing is ideal for handling large volumes of data that do not require immediate attention, such as credit card billing, bank transactions, and email systems. It offers advantages like cost-effectiveness, efficiency, and minimal human intervention.
On the other hand, real-time processing is necessary for situations where immediate data processing is crucial, such as share price monitoring, fraud detection, and air traffic control. It allows for continuous data analysis and instant action but can be more resource-intensive and costly.
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