July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Special RDD Operations
"It's supposed to be automatic, but actually you have to push this button."
- John Brunner
In this chapter, you learn how RDDs can be tailored to different needs, and how these RDDs provide new functionalities (and dangers!) Moreover, we investigate other useful objects that Spark provides, such as broadcast variables and accumulators. In a nutshell, the following topics will be covered throughout this chapter:
- Types of RDDs
- Aggregations
- Partitioning and shuffling
- Broadcast variables
- Accumulators
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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.