What is a characteristic of batch processing?
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A. B. C. D.D
Batch processing is a method of processing data in which large volumes of data are collected, processed, and analyzed at once. This type of processing is commonly used in scenarios where data can be collected over time and then analyzed in bulk. Batch processing is often used for large-scale data analysis, such as data mining or statistical analysis, and it is an efficient way to process large volumes of data.
The characteristic of batch processing is that there is a noticeable time delay between ingesting data and obtaining the data processing results. Unlike real-time processing, which processes data immediately after it is received, batch processing processes data in batches at a specific time interval or schedule. This means that there is a time lag between data ingestion and processing, which can be several hours or days depending on the volume of data and the complexity of the processing.
Option A is incorrect as batch processing does not require immediate processing of data as soon as it is received. Data can be collected over time and then processed in bulk at a later time.
Option B is also incorrect as there is no specific size limit for batches in batch processing. Batch processing can process large volumes of data in batches, regardless of the size of each batch.
Option D is also incorrect as batch processing can process different types of data, including structured, semi-structured, and unstructured data. Batch processing can be used for processing data in various formats, such as CSV, JSON, or XML.
Therefore, option C is the correct answer as there is a noticeable time delay between ingesting data and obtaining the data processing results in batch processing.