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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
Concepts

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

Chapter 7. GraphX

Machine learning is an interesting topic, and if you are reading this book cover to cover, you might be wondering what topic can perhaps overshadow the impressive capability in the day-to-day use machine learning. Well if you haven't heard of graphs before (not graphics!), this is the chapter where we will cover the interesting topic of graphs. We'll look at the following major topics, such as:

  • Graphs in everyday life
  • What is a graph?
  • Why are Graphs elegant?
  • What is GraphX?
  • Graph operators in Spark
  • Graph algorithms in Spark
  • Examples of graph algorithms

Let's get started with this interesting chapter!

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