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

Hadoop on Cloud

Hadoop is a distributed system and it is capable of running over thousands of distributed nodes. Hadoop mega clusters with thousands of nodes are already in production. In this book, we developed solutions on a single-node cluster. Such a setup is good for learning but not sufficient for a production environment. Setting up even a modest three- or five-node Hadoop cluster may not be very feasible at home due to the cost of hardware involved. Arranging the budgets for a five-node Hadoop cluster in a company will require you to go through a budgetary approval process and then order the hardware, which can be a time-consuming process.

Hadoop on Cloud offers a good alternative to having a multinode Hadoop setup in your own data center or company premises. You can use Hadoop on cloud in two ways:

  • Deploying Hadoop on cloud servers

  • Using Hadoop as a Service

Deploying Hadoop on cloud servers

All cloud service providers let you provision standard Linux- or Windows-based servers by following...