Batch processing involves collecting data over a period of time and then processing it all at once, which introduces a noticeable delay between data ingestion and the processing results. This is in contrast to real-time processing, where data is processed immediately as it is received.
The way I understand batch processing it has to either way for an event to occur or a condition to be met to be separated the batches of data. Example: End of the month credit card bill goes out.
Choice D should not be correct because batch processing can process semi-structured (NoSQL) and even unstructured data (with complex and more effort) too.
The most logical answer is C, it's expected there will be a delay.
The fundamental requirement of such batch processing engines is to scale out computations to handle a large volume of data. Unlike real-time processing, batch processing is expected to have latencies
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