Marilyn Matz, CEO of Paradigm4 explains why some use cases are NOT a good fit for Hadoop

Hadoop works well when a problem can be broken down into discrete and parallel sub-tasks. Some problems must be applied to an entire dataset. She lists some of these: correlation, covariance, principal component analysis, multivariate statistics, generalized linear models.

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