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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

Data Processing

Table of Contents (18) Chapters

Learning Apache Spark 2

Credits

About the Author

About the Reviewers

www.packtpub.com

Customer Feedback

Preface

Architecture and Installation

Transformations and Actions with Spark RDDs

ETL with Spark

Spark SQL

Spark Streaming

Machine Learning with Spark

GraphX

Operating in Clustered Mode

Building a Recommendation System

Customer Churn Prediction

Theres More with Spark

Summary

In this chapter, we have gone through the concept of creating an RDD, to manipulating data within the RDD. We've looked at the transformations and actions available to an RDD, and walked you through various code examples to explain the differences between transformations and actions. Finally, we moved on to the advanced topics of PairRDD, where we demonstrated the creation of a Pair RDD along with some advanced transformations on the RDD.

We are now ready to explain the ETL process and the types of external storage systems that Spark can read/write data from including external filesystems, Apache Hadoop HDFS, Apache Hive, Amazon S3, and so on. We'll also look at some of the connectors to the most popular databases and how to optimally load data from storage systems, and store it back.

However, before moving on to the next chapter, have a break as you definitely deserve it!

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