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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

Setting up Jupyter Notebook with Spark

In this section we will look at how to setup a Jupyter notebook with Spark. For those of you who haven't yet been able to grasp the concept of the notebook environment, it is important to understand the benefits as opposed to a traditional environment. Please do note that Jupyter Notebook is one of the many options that users have.

What is a Jupyter Notebook?

A Jupyter Notebook is an interactive computational environment which can combine execution of code, integrating rich media and text and visualizing your data with numerous visualization libraries. The notebook itself is just a small web application that you can use to create documents, and add explanatory text before sharing them with your peers or colleagues. Jupyter notebooks are being used at Google. Microsoft, IBM, NASA, and Bloomberg among many other leading companies.

Setting up a Jupyter Notebook

Following are the steps to set up a Jupyter Notebook:

  • Pre-requisites - You would need Python...
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