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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 2. Transformations and Actions with Spark RDDs FREE CHAPTER 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 3. ETL with Spark

So we have gone through the architecture of Spark, and have had some detailed level discussions around RDDs. By the end of Chapter 2, Transformations and Actions with Spark RDDs, we had focused on PairRDDs and some of the transformations.

This chapter focuses on doing ETL with Apache Spark. We'll cover the following topics, which hopefully will help you with taking the next step on Apache Spark:

  • Understanding the ETL process
  • Commonly supported file formats
  • Commonly supported filesystems
  • Working with NoSQL databases

Let's get started!

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