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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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Concepts
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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

Exploring customer service calls


Based on past experience, in a typical churn scenario, customers who churn would typically make more calls to the customer service centers compared to those who don't churn. Calls to customer service center imply a problem faced by the customer, and multiple calls to the customer service center indicate a persistent unresolved problem.

We've used Plotly to build a scatter plot for calls made to customer services. Plotly, also known by its URL, Plot.ly, is an online analytics and data visualization tool providing online graphing, analytic, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python (https://en.wikipedia.org/wiki/Python_(programming_language), R (https://en.wikipedia.org/wiki/R_(programming_language)), MATLAB (https://en.wikipedia.org/wiki/MATLAB), Perl (https://en.wikipedia.org/wiki/Perl), Julia (https://en.wikipedia.org/wiki/Julia_(programming_language)), Arduino (https://en.wikipedia.org/wiki...

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