December 2016
Beginner to intermediate
392 pages
8h 13m
English
Content preview from Apache Spark for Data Science CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 1. Big Data Analytics with Spark
In this chapter, we will cover the components of Spark. You will learn them through the following recipes:
- Initializing SparkContext
- Working with Spark's Python and Scala shells
- Building standalone applications
- Working with the Spark programming model
- Working with pair RDDs
- Persisting RDDs
- Loading and saving data
- Creating broadcast variables and accumulators
- Submitting applications to a cluster
- Working with DataFrames
- Working with Spark Streaming
Introduction
Apache Spark is a general-purpose distributed computing engine for large-scale data processing. It is an open source initiative from AMPLab and donated to the Apache Software Foundation. It is one of the top-level projects under the Apache Software Foundation. ...
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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.