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Apache Spark for Data Science Cookbook
book

Apache Spark for Data Science Cookbook

by Padma Priya Chitturi
December 2016
Beginner to intermediate
392 pages
8h 13m
English
Packt Publishing
Content preview from Apache Spark for Data Science Cookbook

Features

Sparkling Water provides transparent integration for the H2O engine and its machine learning algorithms into Spark platforms, which enables the following:

  • Use of H2O algorithms in the Spark workflow
  • Transformation between H2O and Spark data structures
  • Use of Spark RDDs and DataFrames as input for H2O algorithms
  • Use of H2O frames as input for MLlib algorithms
  • Transparent execution of Sparkling Water applications on top of Spark
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Publisher Resources

ISBN: 9781785880100