Learning Spark
Žánr: Cizojazyčná literatura > English literature > Nonfiction > Information Technology
Updated to emphasize new features in Spark 2.4., this second edition shows data engineers and scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine-learning algorithms.
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