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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

What you need for this book

There are two ways to work with the recipes in this book:

  • The first is to use Databricks Community Cloud at https://community.cloud.databricks.com. It is a free notebook provided by Databricks. All the sample data for this book has also been uploaded in the Amazon Web Service S3 bucket, namely sparkcookbook.
  • The second option is to use InfoObjects Big Data Sandbox, which is a virtual machine built on top of Ubuntu. This software can be downloaded from http://www.infoobjects.com.
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