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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
Option C :
https://learn.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
Read this para:
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 (the time between data ingestion and computing a result) that measure in minutes to hours.
Yes, it is possible to use batch processing with unstructured data. Batch processing is a data processing technique that involves collecting and processing data in predefined batches or groups. It can be used with both structured and unstructured data, although the approach and tools used may differ.
Option A is Stream Processing, NOT Batch Processing
Option B - There is hard limits on data sizes for Batch processing, as they are meant to handle large amounts on data.
Option C - Correct Answer.
Option D - Batch Processing can be done Structure, Semi-Structured & Un-Structured data.
Sorry for the Typo for Option B. Below, please find the corrected text.
Option B - There ARE NO hard limits on data sizes for Batch processing, as they are meant to handle large amounts on data.
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