February 2017
Beginner to intermediate
1100 pages
25h 19m
English
book
Scala: Guide for Data Science Professionals
by Pascal Bugnion, Arun Manivannan, Patrick R. Nicolas
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Using GraphX to analyze Twitter data
GraphX is Spark's approach to graphs and computation against graphs. In this recipe, we will see a preview of what is possible with the GraphX component in Spark.
How to do it...
Now that we have the Twitter data stored in the ElasticSearch index, we will perform the following tasks on this data using a graph:
- Convert the ElasticSearch data into a Spark Graph.
- Sample vertices, edges, and triplets in the graph.
- Find the top group of connected hashtags (connected component).
- List all the hashtags in that component.
- Converting the ElasticSearch data into a graph: This involves two steps:
- Converting ElasticSearch data into a DataFrame: This step, like we saw in an earlier recipe, is just a one-liner:
def convertElasticSearchDataToDataFrame(sqlContext: ...
- Converting ElasticSearch data into a DataFrame: This step, like we saw in an earlier recipe, is just a one-liner:
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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.