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Fast Data Processing with Spark 2 - Third Edition

You're reading from  Fast Data Processing with Spark 2 - Third Edition

Product type Book
Published in Oct 2016
Publisher Packt
ISBN-13 9781785889271
Pages 274 pages
Edition 3rd Edition
Languages
Author (1):
Holden Karau Holden Karau
Profile icon Holden Karau

Table of Contents (18) Chapters

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 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

Summary


In this chapter, we covered how to connect to our Spark cluster using a SparkSession and SparkContext object. We saw how the APIs are uniform across all the languages, such as Scala and Python. We also learned a bit about the interactive shell and iPython. Using this knowledge, we will look at the different data sources we can use to load data into Spark in the next chapter.

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