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 started by learning about the origins of big data problems. We learned how Google publications gave rise to the development of Hadoop and its ecosystem of tools and how the engineering teams at Yahoo were the main driving force behind the evolution of Hadoop.

We covered how industrial scale use of Hadoop at Yahoo paved the way for the commercial scale of adoption of Hadoop in diverse industry segments.

We learned about the design of the HDFS and MapReduce as computing paradigms followed by an overview of the tools in the Hadoop ecosystem. We developed a MapReduce program and also studied how to run it on Hadoop.

The latter part of this chapter was devoted to giving you a brief overview of cases covered in this book, which we will learn in our projects in the coming chapters. We also covered Lambda architecture as the reference architecture for building big data systems.