June 2017
Beginner to intermediate
296 pages
7h 4m
English
Content preview from Frank Kane's Taming Big Data with Apache Spark and Python
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Spark Streaming and GraphX
The last two things I want to cover in this chapter are Spark Streaming and GraphX, which are two technologies built on top of Spark. Spark Streaming handles continually incoming real-time data, say from a series of web logs from web servers that are running all the time. GraphX offers some tools for network analysis, kind of like the social network analysis that we were doing back when we were looking at superheroes and their relationships to each other. I'm going to cover Spark Streaming and GraphX at kind of a hand-wavey high level, because they're currently incomplete. Neither one really has good support for Python yet, right now they only work in Scala and they're in the process of being ported to Java and ...
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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.