February 2017
Intermediate to advanced
274 pages
5h 58m
English
Content preview from Learning PySparkBecome 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
As you can see in this chapter, you can easily perform a lot of powerful data analysis by executing queries against graph structures. With GraphFrames, you can leverage the power, simplicity, and performance of the DataFrame API against your graph problems.
For more information on GraphFrames, please refer to the following resources:
- Introducing GraphFrames (http://bit.ly/2dBPhKn)
- On-Time Flight Performance with GraphFrames for Apache Spark (http://bit.ly/2c804ZD)
- On-Time Flight Performance with GraphFrames for Apache Spark (Spark 2.0) Notebook (http://bit.ly/2kPkXkc)
- GraphFrames Overview (http://graphframes.github.io/)
- Pygraphframes documentation (http://graphframes.github.io/api/python/graphframes.html)
- GraphX Programming Guide (http://spark.apache.org/docs/latest/graphx-programming-guide.html ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.