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


In this chapter, we learned the basic concept of the Internet of Things (IoT) and how big data can be used in this way to perform data processing. Then we tried to solve a business case for sensor data analytics, and we implemented software solutions as part of the use case. For any sensor data analytics use case, it is very important to focus on both batch and stream analytics. Both ways have their own meaning and importance. It is not mandatory to solve all such use cases using the aforementioned technologies; in fact, there are various similar options available. Based on your need, you can choose the preferred one.

In the next chapter, we will look at how to build a Hadoop-based Data Lake for large enterprises. We will learn how to set up the data pipeline and governance.