Briefly and thoroughly (in 150 words or less) describe batch processing with MapReduce.
The MapReduce is an important thing for big data processing and it allows parallel processing with no shared state. The batch processing is a is an automated and periodic job that done some calculations or computations. As the name suggests, batch processing processes a batch of tasks. The code is run based on the set or group of inputs called batch. The batch data is read from the database by the job and after processing, the result of it is stored in the same or different database.
eg. In any online shop, reading all the sale logs from the database and creating statistics for that day. It could give insights into customer trends.
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