September 2016
Beginner to intermediate
326 pages
6h 47m
English
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Chapter 3. Deep Dive into Apache Spark
Apache Spark is growing at a fast pace in terms of technology, community, and user base. Two new APIs were introduced in 2015: the DataFrame API and DataSet API. These two APIs are built on top of the core API, which is based on RDDs. It is essential to understand the deeper concepts of RDDs including runtime architecture and behavior on various resource managers of Spark.
This chapter is divided into the following sub topics:
- Starting Spark daemons
- Spark core concepts
- Pairing RDDs
- The lifecycle of a Spark program
- Spark applications
- Persistence and caching
- Spark resource managers—Standalone, Yarn, and Mesos
Starting Spark daemons
If you are planning to use a standalone cluster manager, you need to start the Spark ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.