Packt+ | Advance your knowledge in tech

You're reading from Scala and Spark for Big Data Analytics Explore the concepts of functional programming, data streaming, and machine learning

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781785280849

Length 796 pages

Edition 1st Edition

Languages

Scala

Tools

Apache Spark

Concepts

Big Data

Authors (2):

Karim

Sridhar Alla

View More author details

Table of Contents (25) Chapters

Title Page

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Introduction to Scala FREE CHAPTER

2. Object-Oriented Scala

3. Functional Programming Concepts

4. Collection APIs

5. Tackle Big Data – Spark Comes to the Party

6. Start Working with Spark – REPL and RDDs

7. Special RDD Operations

8. Introduce a Little Structure - Spark SQL

9. Stream Me Up, Scotty - Spark Streaming

10. Everything is Connected - GraphX

11. Learning Machine Learning - Spark MLlib and Spark ML

12. My Name is Bayes, Naive Bayes

13. Time to Put Some Order - Cluster Your Data with Spark MLlib

14. Text Analytics Using Spark ML

15. Spark Tuning

16. Time to Go to ClusterLand - Deploying Spark on a Cluster

17. Testing and Debugging Spark

18. PySpark and SparkR

PageRank

PageRank is one of the most important algorithms in the graph space. Originating at Google, the algorithm named after Larry page, the founder of Google, has evolved into many types of use cases on the concept of ranking vertices or nodes based on relationships or edges.

Note

Google PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is. The underlying assumption is that more important websites are likely to receive more links from other websites. For more information, you can read the description at https://en.wikipedia.org/wiki/PageRank

Using Google PageRank as an example, you can improve the relative importance of a web page on your company website or maybe your blog by promoting the web page among other popular websites and technical blogs. Using this approach, your blog website may appear in Google search results about some article higher than other similar web pages, if there are a lot of third-party...