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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
Languages
Concepts
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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

Summary

In this chapter, you learned about the history of Bigdata and its dimensions and basic concepts of Hadoop and Spark. After that, you were introduced to RDD, and you learned the basic concepts of the Spark RDD model. Then, you learned about the various components of the Spark Ecosystem and the newer features of Spark 2.x.

As this book focuses on implementing Spark Applications in Java, in the next chapter, we will refresh the concepts of core Java and focus on the newer feature of Java 8, which will be leveraged while developing Spark Applications.

You have been reading a chapter from
Apache Spark 2.x for Java Developers
Published in: Jul 2017
Publisher: Packt
ISBN-13: 9781787126497
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