April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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The first step to a Spark program in Python
Spark's Python API exposes virtually all the functionalities of Spark's Scala API in the Python language. There are some features that are not yet supported (for example, graph processing with GraphX and a few API methods here and there). Refer to the Python section of Spark Programming Guide (http://spark.apache.org/docs/latest/programming-guide.html) for more details.
PySpark is built using Spark's Java API. Data is processed in native Python, cached, and shuffled in JVM. Python driver program's SparkContext uses Py4J to launch a JVM and create a JavaSparkContext. The driver uses Py4J for local communication between the Python and Java SparkContext objects. RDD transformations in Python map to ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.