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
About the Authors
About the Reviewers

Running the Model on Hadoop

We have used BigML for creating the classification tree with the help of historical campaign response data. This model is available in the form of Java code. We can now run this model on Hadoop by using it inside a MapReduce job.

We will need a MapReduce program, which you are already familiar with from the previous chapters of this book. This program is supplied with this book in the directory /hbp/chapt4 as a file named This file contains the code for a mapper, reducer, and driver in a single file. The following classes are included in this file:

public class ResponsePrediction {...} 
public static void main(String[] args) throws Exception { 
      JobConf conf = new JobConf(ResponsePrediction.class); 
      conf.setMapOutputValueClass(Text.class); ...