Name: Learning Spark
ISBN: 9781449358624

Matei Zaharia

Holden Karau

Andy Konwinski

Patrick Wendell

Mark Hamstra

This book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning.

Lightning-Fast Big Data Analytics

Learning Spark

Gavin

Tool books are difficult to stomach: their contents are so much more ephemeral than other technical books. It's not worth it: in 10 years, will it matter? etc. (This is an incredibly high bar to pose, but that's how high my opinion is of the technical pursuits.) O'Reilly soften this blow, occasionally, by enlisting really brilliant authors who bring in the eternal and the broad while pootering around their narrow furrow. (I am incredibly fond of Alan Gates for this, for instance.) 

Spark is the biggest deal by far in my corner of the world and will probably affect your life in minor ways you will never pin down (see O'Neil below).

[Theory #1, Thinking #1]

Learning Spark Lightning-Fast Big Data Analytics