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Fast Data Processing with Spark 2

You're reading from   Fast Data Processing with Spark 2 Accelerate your data for rapid insight

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Product type Paperback
Published in Oct 2016
Publisher Packt
ISBN-13 9781785889271
Length 274 pages
Edition 3rd Edition
Languages
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Authors (2):
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Krishna Sankar Krishna Sankar
Author Profile Icon Krishna Sankar
Krishna Sankar
 Karau Karau
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Karau
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Table of Contents (18) Chapters Close

Fast Data Processing with Spark 2 Third Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Installing Spark and Setting Up Your Cluster FREE CHAPTER 2. Using the Spark Shell 3. Building and Running a Spark Application 4. Creating a SparkSession Object 5. Loading and Saving Data in Spark 6. Manipulating Your RDD 7. Spark 2.0 Concepts 8. Spark SQL 9. Foundations of Datasets/DataFrames – The Proverbial Workhorse for DataScientists 10. Spark with Big Data 11. Machine Learning with Spark ML Pipelines 12. GraphX

Chapter 12. GraphX

In this chapter, we will dive into the graph-processing capabilities of Spark, the GraphX package-very interesting, useful, and relevant. You will see things such as PageRank, connections, and communities. We will start with an introduction to graph processing and then progress to code the GraphX APIs on a simple, yet interesting giraffe graph. We will explore the organization and structure of the APIs and objects and then dive into algorithms that explore the community, PageRank, and so forth. Finally, we will explore the retweet network of the #alphago community, exploring the data pipeline, the map attributes of properties, and vertices and edges. We'll then create a graph and run algorithms. Should be an interesting chapter!

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