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Learning Apache Spark 2

You're reading from  Learning Apache Spark 2

Product type Book
Published in Mar 2017
Publisher Packt
ISBN-13 9781785885136
Pages 356 pages
Edition 1st Edition
Languages

Table of Contents (18) Chapters

Learning Apache Spark 2
Credits
About the Author
About the Reviewers
www.packtpub.com
Customer Feedback
Preface
1. Architecture and Installation 2. Transformations and Actions with Spark RDDs 3. ETL with Spark 4. Spark SQL 5. Spark Streaming 6. Machine Learning with Spark 7. GraphX 8. Operating in Clustered Mode 9. Building a Recommendation System 10. Customer Churn Prediction 1. Theres More with Spark

What is a graph?


A graph is a mathematical representation of linked data. It is a study of relationships or relationships objects, and it is formed by vertices (also known as nodes or points), which are connected by edges (also known as arcs or lines). A graph may be directed or undirected, where a directed graph implies that edges have direction associated with them, while an undirected graph implies that the edges do not have a direction associated with them.

A graph is therefore represented as an ordered pair of G=(V,E) where V is a set of vertices, nodes, or points connected by E, which is a set of edges, arcs, or lines. For example, in Figure 7.1, we have a set of vertices numbered 1 to 7, and certain vertices are connected by more than one edges, for example, 4 connected to vertices 1,2,3,6 while 7 is only connected to 6.

Figure 7.1: An example of a Graph

In computer science, graphs are used to represent networks of communication such as data organization, a set of computational...

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