This step-by-step tutorial from Krishna Sankar and Holden Karau is for software developers who want to learn how to write distributed programs with Spark. In it you will develop a machine learning system with Spark's MLlib and scalable algorithms and deploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so on. No previous experience with distributed programming is necessary. However it assumes knowledge of either Java, Scala, or Python.

Authors: Krishna Sankar and Holden Karau
Publisher: Packt Publishing

Date: March 31, 2015
Pages: 184

ISBN: 9781784392574
Print: 178439257X
Kindle: B00VIBPW3U
Category: Data Science
Level: No previous experience with distributed programming is necessary. Assumes knowledge of either Java, Scala, or Python.

See Kay Ewbank's review of Learning Spark co-authored by Holden Karau 

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