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

Technology stack

For the preceding solution, we would need to use various technologies. The details are as follows.


Kafka is a publish-subscribe messaging service. It is distributed, reliable, durable, fast, and scalable by design. It gives us the ability to create topics and publish messages to them. We can then define the subscribers to these topics in order to start consuming these messages. More on Kafka at


Flume is a reliable, distributed system, designed to effectively collect and aggregate data from various systems. In our solution, we are going to use Flume to get data from Kafka and write it to HDFS and Open TSDB simultaneously. More on Flume at We will be learning more about Flume in the next chapter.


Hadoop Distributed File System (HDFS) is a reliable, distributed file storage system for effective data analytics. We have already explored this in earlier chapters.


Hive is an SQL dialect of Hadoop. The data stored...