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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Accumulators and implementing BFS in Spark
Now that we have the concept of breadth-first-search under our belt and we understand how that can be used to find the degrees of separation between superheroes, let's apply that and actually write some Spark code to make it happen. So how do we turn breadth-first search into a Spark problem? This will make a lot more sense if that explanation of how BFS works is still fresh in your head. If it's not, it might be a good idea to go back and re-read the previous section; it will really help a lot if you understand the theory.
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.