What is batching in data processing?
An example of an AI chatbot conversation about batching in data processing.
What is batching in data processing?
Batching in data processing refers to the technique of processing data in groups or batches rather than individually.
Why is batching important in data processing?
Batching improves efficiency by reducing the overhead of processing each data item separately, allowing for better resource utilization.
Can you give me an example of batching in action?
Sure! For instance, in a bank, transactions can be collected throughout the day and processed in a batch at night.
What are the advantages and disadvantages of batching?
Advantages include improved performance and reduced costs, while disadvantages can be latency and complexity in error handling.
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