September 2015
Intermediate to advanced
148 pages
3h 20m
English
Content preview from Apache Spark Graph ProcessingBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Summary
In this chapter, we studied how to solve the clustering problem for large-scale graphs. To do this, we introduced the Power Iteration Clustering method, and showed how to apply it to the clustering of songs using social tags. Using the song clustering example, we also reviewed the main graph building and processing techniques that we learned throughout this book. You should now be well-acquainted with using Spark's graph processing power to solve more interesting problems.
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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.