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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Summary
We've covered a lot of ground in this chapter, and I hope it's given you an idea of the kinds of things that you can do with Spark and the power that it gives you. Please do continue to explore and experiment with these examples, altering things to see how they function and gaining familiarity with the workings of Spark. In the next chapter, we're going to turn our attention to the cloud and start working with really big data when we find out how to run Spark on a cluster.
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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.