Batch processing offers the advantage of efficiency, as it allows for the execution of large volumes of data at once, minimizing the overhead associated with individual transactions. This approach can lead to significant cost savings and optimized resource utilization. However, a major disadvantage is the inherent delay in processing, as data must be collected and queued before execution, which can lead to outdated information and slower response times for users needing real-time data. Additionally, troubleshooting errors can be more complex, as issues may only become apparent after the entire batch has been processed.
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