Book Image

Hadoop Blueprints

By : Anurag Shrivastava, Tanmay Deshpande
Book Image

Hadoop Blueprints

By: Anurag Shrivastava, Tanmay Deshpande

Overview of this book

If you have a basic understanding of Hadoop and want to put your knowledge to use to build fantastic Big Data solutions for business, then this book is for you. Build six real-life, end-to-end solutions using the tools in the Hadoop ecosystem, and take your knowledge of Hadoop to the next level. Start off by understanding various business problems which can be solved using Hadoop. You will also get acquainted with the common architectural patterns which are used to build Hadoop-based solutions. Build a 360-degree view of the customer by working with different types of data, and build an efficient fraud detection system for a financial institution. You will also develop a system in Hadoop to improve the effectiveness of marketing campaigns. Build a churn detection system for a telecom company, develop an Internet of Things (IoT) system to monitor the environment in a factory, and build a data lake – all making use of the concepts and techniques mentioned in this book. The book covers other technologies and frameworks like Apache Spark, Hive, Sqoop, and more, and how they can be used in conjunction with Hadoop. You will be able to try out the solutions explained in the book and use the knowledge gained to extend them further in your own problem space.
Table of Contents (14 chapters)
Hadoop Blueprints
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Chapter 5. Churn Detection

You have become familiar with some of the business applications of Hadoop presented in this book, such as fraud detection, 360-degree customer analytics, and increasing the response rate for campaigns. In this chapter, we will cover a common application of Hadoop known as churn detection. Churn refers to a customer leaving a subscription with company X to sign up for a subscription with company Y. The causes of churn can be manifold, such as company Y offering cheaper services or making a more attractive offer to the customer. Churn could also be an indicator of inferior services delivered by company X, leading to a dissatisfied customer who decides to move to company Y. No company in the world likes to see their customers leaving, but this problem is very acute in the mobile telephony business where the services offered by mobile service providers are not differentiated much, and the hurdle of switching over to another provider can be overcome with mobile number...