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“Many new data scientists tend to rush past it to get their data into a minimally acceptable state, only to discover that the data has major quality issues after they apply their (potentially computationally intensive) algorithm and get a nonsense answer as output.”
Sandy Ryza, Advanced Analytics with Spark: Patterns for Learning from Data at Scale

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