Mastering Spark for Data Science

by Andrew Morgan, Antoine Amend, David George

Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products This book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes.

560 pages, Paperback

Published March 29, 2017