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Apache Spark 2.x Cookbook

You're reading from   Apache Spark 2.x Cookbook Over 70 cloud-ready recipes for distributed Big Data processing and analytics

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Product type Paperback
Published in May 2017
Publisher
ISBN-13 9781787127265
Length 294 pages
Edition 1st Edition
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Author (1):
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Rishi Yadav Rishi Yadav
Author Profile Icon Rishi Yadav
Rishi Yadav
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Apache Spark FREE CHAPTER 2. Developing Applications with Spark 3. Spark SQL 4. Working with External Data Sources 5. Spark Streaming 6. Getting Started with Machine Learning 7. Supervised Learning with MLlib — Regression 8. Supervised Learning with MLlib — Classification 9. Unsupervised Learning 10. Recommendations Using Collaborative Filtering 11. Graph Processing Using GraphX and GraphFrames 12. Optimizations and Performance Tuning

Developing Applications with Spark

In this chapter, we will cover the following recipes:

  • Exploring the Spark shell
  • Developing a Spark applications in Eclipse with Maven
  • Developing a Spark applications in Eclipse with SBT
  • Developing a Spark application in IntelliJ IDEA with Maven
  • Developing a Spark application in IntelliJ IDEA with SBT
  • Developing applications using the Zeppelin notebook
  • Setting up Kerberos to do authentication
  • Enabling Kerberos authentication for Spark
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