Big Data Hadoop is in trend and early adopters will get big advantages in the fastest growing analytics fields.
What can be the best apart from Hadoop Books for beginners to start with Hadoop?
In this guide, I am going to list 10 best Hadoop books for beginners to start with Hadoop career. These all are low price Hadoop books and most recommended one as well.
I would suggest you start with any of these Hadoop books and follow it completely. You can order the pdf version of these books and can start your Hadoop journey.
10+1 Handy Hadoop books for beginners
So without any delay, here is the list of top 10 Hadoop books for beginners.
1. Hadoop: The Definitive Guide
Author: Tom White
Publisher: Hadoop: The Definitive Guide
Pages: 736
Probably this is one of the most famous and best-selling Hadoop books for beginners and starters. This book covers almost all the aspect of Hadoop and its ecosystems (HDFS, MapReduce, HBase, Zookeeper, Hive, Pig etc.) beautifully.
With this Hadoop book, you can easily start with your Hadoop journey and will be able to build, test and work on Hadoop and its galaxy.
The new version of this Hadoop book has incorporated all the recent development in Hadoop like MapReduce2, Yarn etc.
2. Hadoop in Action
Author: Chuck Lam
Publisher: Manning
Pages: 336
It starts with a few easy examples and then moves to show how Hadoop can be used in more complex data analysis tasks. It requires basic Java skills.
It will help you to write the programs in MapReduce style easily. You will also learn some best Hadoop techniques through some best examples.
3. Hadoop in Practice
Author: Alex Holmes
Publisher: Manning Publications
Pages: 512
If you like cookbook approach, Hadoop in practice can be one of the best Hadoop books for you.
This Hadoop book is having over 85 Hadoop examples in question-solution fashion for easy understanding.
Each technique addresses a specific task you’ll face, like querying big data using Pig or writing a log file loader.
The best thing I found with this Hadoop book for beginners is, you will find the solution of each problem step by step.
If you are complete newbie also, you will enjoy reading this amazing Hadoop book.
4. Hadoop Beginner’s Guide
Author: Garry Turkington
Publisher: Packt Publishing
Pages: 398
This Hadoop book has been specifically designed for the beginners. It starts from the initial stuff of Hadoop and helps you to understand how to configure a cluster, install Hadoop on AWS, Ubuntu etc.
If you are a newbie and looking for more into installing and configuring Hadoop cluster, I would suggest you check this book.
5. Pro Hadoop
Author: Jason Venner
Publisher: Apress
Pages: 440
Pro Hadoop provides a step by step methods to create and run the MapReduce jobs. It also helps you to create and configure Hadoop cluster.
Pro Hadoop provides a step by step methods to create and run the MapReduce jobs. It also helps you to create and configure Hadoop cluster.
If you are a skilled person also, this Hadoop book will help you to refine your skills.
6. Hadoop Operations
Author: Eric Sammers
Publisher: O’Reilly Press
Pages: 316 pages
If you are working on a large set of Hadoop cluster, Hadoop Operation book is for you. Eric, the author of this book has similar kind of experience of working on large sets of clusters.
You will get practical experience to manage and run a large set of Hadoop clusters.
7. Scaling Big Data with Hadoop and Solr
Author: Hrishikesh Karambelkar
Publisher: Packt Publishing
Pages: 166
It is a step by step Hadoop book to build a search engine while scaling the data. Starting with the basics of Hadoop and Solr, this book touches some advanced view of optimizing search with some real world scenarios.
8. Optimizing Hadoop for MapReduce
Author: Khaled Tannir
Publisher: Packt Publishing
Pages: 136
This book is perfect for practical learning where you will get enough examples for Optimizing Hadoop for MapReduce job performance.
This Hadoop book starts with the basics of MapReduce and touches the deep understanding of it, tuning the MapReduce codes and optimizing for a great performance.
9. Hadoop Real World Solutions Cookbook
Author: Jonathan Owens, Brian Femiano, Jon Lentz
Publisher: Packt Publishing
Pages: 290
It is a book with loads of examples connecting the real world examples and explaining the various codes and design patterns with various Hadoop tools.
The book covers various tools including MapReduce, Hive, Pig, MRUnit, serialization using Avro/Thrift/ProtoBuffs, Giraph, Accumulo and several others.
10. Hadoop Operations and Cluster Management Cookbook
Author: Shumin Guo
Publisher: Packt Publishing
This Hadoop book is considered as one of the best books for cluster tuning. With the help of this book, you can design and manage Hadoop cluster efficiently.
Apart from all these 10 best Hadoop books for beginners, I would like to mention one more book that is specifically for Spark and is free.
11. Spark: Learn Spark In A DAY!
Author: Acodemy
Publisher: Amazon Asia-Pacific Holdings Private Limited
Pages: 137
This is the quick book for spark something like a crash course and is available at very low cost at Amazon store.
This is an ultimate Crash Course to Learning the Basics of Spark in No Time (Spark, Spark Course, Spark Development, Spark Books, and Spark for Beginners).
Conclusion
This was all about 10 best Hadoop books for beginners. You can start with any of these Hadoop books for beginners read and follow thoroughly.
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