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Apache Spark 2.x for Java Developers

You're reading from   Apache Spark 2.x for Java Developers Explore big data at scale using Apache Spark 2.x Java APIs

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787126497
Length 350 pages
Edition 1st Edition
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Authors (2):
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Sourav Gulati Sourav Gulati
Author Profile Icon Sourav Gulati
Sourav Gulati
Sumit Kumar Sumit Kumar
Author Profile Icon Sumit Kumar
Sumit Kumar
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Table of Contents (12) Chapters Close

Preface 1. Introduction to Spark FREE CHAPTER 2. Revisiting Java 3. Let Us Spark 4. Understanding the Spark Programming Model 5. Working with Data and Storage 6. Spark on Cluster 7. Spark Programming Model - Advanced 8. Working with Spark SQL 9. Near Real-Time Processing with Spark Streaming 10. Machine Learning Analytics with Spark MLlib 11. Learning Spark GraphX

Interaction with external storage systems

As we know, Spark is a processing engine that can help to process a humongous amount of data; however, to process the data it should be read from external systems. In this section, we will learn how to store/read data in Spark from/to different storage systems.

We will start with the local filesystem and then will implement Spark with some popular storage systems used in the big data world.

Interaction with local filesystem

It is very straightforward and easy to read data from a local filesystem in Spark. Let's discuss this with examples, as follows:

Let's put first things first. First, create (or reuse) the Maven project described in the previous chapter and create a Java...

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