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

Capturing business information


Like any other mid-sized retailer, the information technology needs of Cosmetica have grown with times. Previously, most customers visited their shopping outlets and did most of their purchasing during the weekends. During the festival seasons, the sales used to be brisk. In late 90s, Cosmetica introduced a loyalty card to boost customer loyalty. This loyalty card allowed customers to collect loyalty points at the time of making a purchase in the shop. The customers could redeem those loyalty points to buy products that were on special offer.

Since the year 2005, Cosmetica has a good presence on the World Wide Web through their webshop; customers can browse their products online and buy them. Cosmetica is planning to offer a personalized cosmetic shopping service. A customer can call the Cosmetica call center in order to approach a human shopping assistant and get personalized advice.

In order to do this, Cosmetica wants to have a 360-degree view of customers...