Best Hadoop Books
Apache Hadoop software library is a framework that allows distributed processing of large data sets across cluster of computers using simple programming models. It is designed to scale out from single server to thousands of machines, each offering local computation and storage. Framework provides highly Reliable, Available and Scalable services.
These books are designed for those who aspire to become a Hadoop Developer. Here you will find 10 best Hadoop books to learn Hadoop from beginner level to advance level.
Top 10 Hadoop Books
1. Hadoop – The Definitive Guide
Author :- Tom White
Edition :- 4th Edition
Published by :- O'Reilly
Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.
You’ll learn about recent changes to Hadoop, and explore new case studies on Hadoop’s role in healthcare systems and genomics data processing.
2. Hadoop in Action
Author :- Chuck Lam
Edition :- 2011 Edition
Published by :- Dreamtech Press
Hadoop in Action introduces the subject and teaches you how to write programs in the MapReduce style. It starts with a few easy examples and then moves quickly to show Hadoop use in more complex data analysis tasks. Included are best practices and design patterns of MapReduce programming.
This book requires basic Java skills. Knowing basic statistical concepts can help with the more advanced examples.
3. Hadoop in Practice
Author :- Alex Holmes
Edition :- 2nd Edition
Published by :- Dreamtech Press
This completely revised edition covers changes and new features in Hadoop core, including MapReduce 2 and YARN. You'll pick up hands-on best practices for integrating Spark, Kafka and Impala with Hadoop and get new and updated techniques for the latest versions of Flume, Sqoop and Mahout. In short, this is the most practical, up-to-date coverage of Hadoop available.
4. Hadoop Operations
Author :- Eric Sammer
Edition :- 2012 Edition
Published by :- O'Reilly
If you’ve been asked to maintain large and complex Hadoop clusters, this book is a must. Demand for operations-specific material has skyrocketed now that Hadoop is becoming the de facto standard for truly large-scale data processing in the data center.
Eric Sammer, Principal Solution Architect at Cloudera, shows you the particulars of running Hadoop in production, from planning, installing, and configuring the system to providing ongoing maintenance.
5. Hadoop for Dummies
Author :- Dirk Deroos, Paul C. Zikopoulos, Roman B. Melnyk, Bruce Brown, Rafael Coss
Edition :- 2014 Edition
Published by :- Wiley
Hadoop Is an exciting technology and this book will help you cut through the hype and wrap your head around what it's good for and how it works. We've included examples and plenty of practical advice so you can get started with your own Hadoop cluster.
This book is composed of five parts, with each part telling a major chunk of the Hadoop story. Every part and every chapter was mitten to be a self-contained Unit. so you can pick and choose whatever you want to concentrate on. Because many Hadoop concepts are Intertwined, we've taken care to refer to whatever background concepts you might need so you can catch up from other chapters, if needed.
6. Pro Apache Hadoop
Author :- Sameer Wadkar, Madhu Siddalingaiah, Jason Venner
Edition :- 2nd Edition
Published by :- Dreamtech Press
This book is designed to be a concise guide to using the Hadoop software.The book is written primarily from the point of view of a Hadoop leveloper and requires an intermediate-level ability to program using Java. The book is designed for practicing Hadoop professionals. You will learn several practical tips on how to use the Hadoop software gleaned from our own experience in implementing Hadoop-based systems.
This book provides step-by-step instructions and examples that will take you from just beginning to use Hadoop to running complex applications on large clusters of machines.
7. Mastering Hadoop 3
Author :- Chanchal Singh, Manish Kumar
Edition :- 2019 Edition
Published by :- Packt Publishing
If you want to become a big data professional by mastering the advanced concepts of Hadoop, this book is for you. You'll also find this book useful if you're a Hadoop professional looking to strengthen your knowledge of the Hadoop ecosystem. Fundamental knowledge of the Java programming language and of the basics of Hadoop is necessary to get started with this book.
8. Hadoop Application Architectures
Author :- Mark Grover
Edition :- 2015 Edition
Published by :- Shroff
The organization of chapters in this book is intended to follow the same flow that you would follow when architecting a solution on Hadoop, starting with modeling data on Hadoop, moving data into and out of Hadoop, processing the data once it's in Hadoop, and so on.
This book can also be used by managers who want to understand which technologies will be relevant to their organization based on their goals and projects, in order to help select appropriate training for developers.
9. Big Data Analytics with Hadoop 3
Author :- Sridhar Alla
Edition :- 2018 Edition
Published by :- Ingram short title
you will explore how to use Hadoop 3 with Apache Spark and Apache Flink for real-time data analytics and stream processing. In addition to this, you will understand how to use Hadoop to build analytics solutions on the cloud and an end-to-end pipeline to perform big data analysis using practical use cases.
By the end of this book, you will be well-versed with the analytical capabilities of the Hadoop ecosystem. You will be able to build powerful solutions to perform big data analytics and get insight effortlessly.
10. Integrating Hadoop
Author :- William McKnight, Jake Dolezal
Edition :- 2016 Edition
Published by :- Technics Publications
Integrating Hadoop leverages the discipline of data integration and applies it to the Hadoop open-source software framework for storing data on clusters of commodity hardware. It is packed with the need-to-know for managers, architects, designers, and developers responsible for populating Hadoop.
Integrating Hadoop covers the gamut of the setup, architecture and possibilities for Hadoop in the organization.
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