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Updated on October 22, 2023Batch processing is a type of computer programming technique that executes a set of operations on a group of data records in a single pass, rather than processing each record individually.
Batch processing is an efficient technique for processing large groups of data records in a single pass. While it has some disadvantages, it is widely used in various applications where parallelism and data consistency are important.
What is batch processing?
Batch processing is a programming technique where a group of data records is processed together in a single execution pass, instead of processing each record individually. It is commonly used to handle large volumes of data efficiently.
What are the key advantages of batch processing?
The key advantages of batch processing are that it is highly efficient for handling large volumes of data, as it processes multiple records simultaneously. It ensures data consistency by maintaining the order of records during processing and allows operations to be organized into separate modules, making them easier to maintain and reuse.
What are some common applications of batch processing?
Batch processing is commonly used in applications such as generating reports or calculating statistics for large datasets, processing financial transactions or customer orders in bulk, converting data from one format to another, and grouping data records based on specific criteria for further processing.
How does batch processing ensure data consistency?
Batch processing ensures data consistency by processing all records in a batch in the same predefined sequence. This systematic approach prevents discrepancies and ensures that all records are treated uniformly during the operation.
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