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

Setting up the technology stack

In Chapter 1, Hadoop and Big Data, we covered various tools in the Hadoop ecosystem. In this chapter, we will use some of those tools to set up the technology stack for building a 360-degree view of a customer. Setting up all the tools in the Hadoop ecosystem can be cumbersome and a fault-prone process, owing to multiple dependencies on the libraries. The tools in the Hadoop ecosystem have evolved over a period of time by contributions from the open source community. Therefore, these tools lack an integrated installation and configuration approach. The Pure Play Hadoop vendors have made good progress in easing the installation of Hadoop by offering Hadoop sandboxes and RPM packages. One such vendor is Hortonworks who offer the Hortonwork Data Platform or HDP. HDP is a pure open source platform built upon open source Hadoop, and several tools from the Hadoop ecosystem.

HDP is available on a CentOS-based virtual machine such as a VirtualBox image. We will deploy...