September 2016
Beginner to intermediate
326 pages
6h 47m
English
Content preview from Big Data AnalyticsBecome 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 the complexity of data grows, data can be better represented by a graph rather than a collection. Graph databases such as Neo4J or Titan, or graph-processing systems such as Apache Giraph or GraphX are used for graph analytics. Apache Giraph is based on Hadoop, which is stable and can be used for pure graph-related problems. GraphX is a graph processing system on top of Spark and can be used if the graph is part of the problem. GraphX integrates well with other components of Spark to unify ETL, exploratory analytics, and graph processing.
GraphX can be used for various operations such as creating graphs, counting, filtering, degrees, triplets, modifying, joining, transforming attributes, VertexRDD, and EdgeRDD operations. It also provides ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.