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Learning Apache Spark 2

You're reading from   Learning Apache Spark 2 A beginner's guide to real-time Big Data processing using the Apache Spark framework

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785885136
Length 356 pages
Edition 1st Edition
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Author (1):
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Muhammad Asif Abbasi Muhammad Asif Abbasi
Author Profile Icon Muhammad Asif Abbasi
Muhammad Asif Abbasi
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Table of Contents (12) Chapters Close

Preface 1. Architecture and Installation FREE CHAPTER 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 Theres More with Spark

Chapter 2. Transformations and Actions with Spark RDDs

Now that we have had a basic overview of the architecture of Spark and key software components, we will cover Spark RDD's in this chapter. During the course of this chapter, we'll walk through the following topics:

  • How to construct RDDs
  • Operations on RDDs, such as transformations and actions
  • Passing functions to Spark (Scala, Java, and Python)
  • Transformations such as map, filter, flatMap, and sample
  • Set operations such as distinct, intersection, and union
  • Actions such as reduce, collect, count, take, and first
  • PairRDDs
  • Shared and broadcast variables

Let's get cracking!

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