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Hadoop Blueprints

You're reading from   Hadoop Blueprints Use Hadoop to solve business problems by learning from a rich set of real-life case studies

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781783980307
Length 316 pages
Edition 1st Edition
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Authors (3):
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Sudheesh Narayan Sudheesh Narayan
Author Profile Icon Sudheesh Narayan
Sudheesh Narayan
Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
Anurag Shrivastava Anurag Shrivastava
Author Profile Icon Anurag Shrivastava
Anurag Shrivastava
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Toc

Table of Contents (9) Chapters Close

Preface 1. Hadoop and Big Data FREE CHAPTER 2. A 360-Degree View of the Customer 3. Building a Fraud Detection System 4. Marketing Campaign Planning 5. Churn Detection 6. Analyze Sensor Data Using Hadoop 7. Building a Data Lake 8. Future Directions

Chapter 4.  Marketing Campaign Planning

In this chapter, we will cover batch analytics using Hadoop. Traditional marketing campaigns which involve direct mailing to the entire customer base are an expensive project for companies. A marketer does not know in advance who is going to respond to a marketing campaign. Generally, the response to a campaign is considered in the form of an action that we expect the recipient to take as the outcome of a campaign. If a campaign fails to evoke the expected or desired response then it is not considered a successful campaign.

In this chapter, we will use Hadoop to perform batch analytics on a customer database to increase the likelihood of customer response in a marketing campaign. We will follow the following steps towards building the solution:

  • Understanding of classification as a supervised learning method
  • Building a machine learning model using historical response data
  • Using the machine learning model in a MapReduce job to generate a list...
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