A data engineer is asked to process several large datasets using MapReduce. Upon initial inspection the engineer realizes that there are complex interdependencies between the datasets.
Why is this a problem?
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MapReduce works best on unstructured data
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There is no problem; MapReduce accommodates all the data
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MapReduce can only parse one file at a time.
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MapReduce is not ideal when the processing of one dataset depends on another.