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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Getting results
Open Canopy Command Prompt and run spark-submit popular-movies.py:
There we have it, sorted by the number of occurrences:
You can see that the most popular movie was movie ID number 50, which was watched 583 times by people in that dataset. Well, that's all well and good but what is movie ID 50? That's not very helpful is it?
We can go look it up by hand and do it the hard way. Go into the ml-100k dataset and open up the u.item file-you might have to right-click that, select Open with and then WordPad so you can actually look ...
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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.