Hadoop Books

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We have compiled the list of Top 10 Best Reference Books on Hadoop subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Hadoop along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Hadoop subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Hadoop" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Hadoop in Practice” by Alex Holmes

“Hadoop in Practice” Book Review: This book provides a conceptual overview of Hadoop and MapReduce. It has 85 practical-tested techniques and examples which are present in a problem/solution format. It balances conceptual foundations with practical experiments for main problem areas like data ingress and egress, serialization, and LZO compression. The book illustrates each technique step by step and also helps to learn how to build specific solutions along with the thinking. In addition, the book gives various real-world examples which create a well-structured and understandable codebase. It requires the basic knowledge of Hadop as prerequisite.

2. “Pro Hadoop” by Jason Venner

“Pro Hadoop” Book Review: This book brings students to speed up on Hadoop. It helps to learn the ins and outs of MapReduce; how to structure a cluster, design, and implement the Hadoop file system; and how to build your first cloud–computing tasks using Hadoop. The book gives all information about how to avoid the common, expensive errors that everyone makes while creating their own Hadoop systems.

3. “Hadoop Essentials: A Quantitative Approach” by Henry Liu

“Hadoop Essentials: A Quantitative Approach” Book Review: The book help developers and CS students learn Hadoop MapReduce programs faster. It helps students to put your complete Hadoop MapReduce learning process in the context of a single application for mining client application patterns integrated into large amounts of credit card recording data. It provides precise and end-to-end procedures to set-up Hadoop environments in our system. This textbook uses Hadoop Java APIs, Hadoop configuration parameters, complete MapReduce programs and their execution logs and outputs to demonstrate how the Hadoop MapReduce framework works and how to write MapReduce programs. This textbook helps students to gain Hadoop skills in an effective and efficient manner. It can also be used as a supplementary textbook for a distributed computing or Hadoop course offered to upper-graduates of CS students.

4. “Apache Hadoop Yarn” by Arun Murthy

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“Apache Hadoop Yarn” Book Review: This book helps in driving the Big Data Revolution. It explains how to run code and develop new applications in apache Hadoop 2. It discusses the design, architecture and components of Hadoop yarn. It provides resource management at data center scale and easier ways to create distributed applications that process petabytes of data. It illustrates how YARN increases scalability and cluster utilization, enables new programming models and services, and opens new options beyond Java and batch processing. The book covers topics including Yarn goals, design, architecture, administering YARN clusters and capacity scheduler, discovering new open source frameworks that run under YARN. The book has many examples that give cutting-edge experience of Apache Hadoop System. It describes MapReduce applications and identification of the functional requirement for Hadoop applications. It helps in developing large-scale clustered yarn applications. It provides sample projects, examples and case studies.

5. “Hadoop: The Definitive Guide” by Tom White

“Hadoop: The Definitive Guide” Book Review: This book is effective for programmers who are looking to analyze datasets of any size and for administrators who want to set up and run Hadoop clusters. It illustrates new chapters on YARN and other Hadoop-related projects such as Parquet, Flume, Crunch and Spark. The book describes basic components such as MapReduce, HDFSand YARN. It gives all information about setting up and maintaining a Hadoop cluster running HDFS and MapReduce on YARN. It helps to elaborate MapReduce in detail, including different steps for developing applications with it.

6. “Hadoop Operations” by Eric Sammer

“Hadoop Operations” Book Review: This book is required to maintain large and complex Hadoop clusters. It demonstrates all possible scenarios, their operations out what works in critical deployment. The provides a high-level overview of Hadoop Distributed File System (HDFS) and Mapreduce and discusses why they exist and how they work. It helps to plan and learn a Hadoop deployment, from hardware and OS selection to network requirements. It illustrates the use of different basic tools and techniques to handle backup and catastrophic failure.

7. “Hadoop in Action” by Chuck Lam

“Hadoop in Action” Book Review: This book helps students to learn how to use Hadoop and write MapReduce programs. It describes the whole procedure from obtaining a copy of Hadoop to setting it up in a cluster and writing data analytic programs. The book continues through the various fundamental concepts of MapReduce applications developed using Hadoop, including a close look at framework components, use of Hadoop for a variety of data analysis tasks, and numerous examples. It illustrates how to use Hadoop and present design patterns and practices of programming Mapreduce. Basic familiarity with java is required as most code examples are written in Java. In addition knowing fundamental statistical concepts (e.g. histogram, correlation) helps the student to understand more advanced data processing examples.

8. “Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS” by Sam R Alapati

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“Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS” Book Review: It explains Hadoop’s architecture. It describes how to manage job workflows with Oozie and Hue. It deals with HDFS commands, file permission, and storage management. It teaches how to use yarn to allocate resources, move data and schedule jobs. It discusses Run MapReduce and Spark applications in a Hadoop cluster.

9. “Moving Hadoop in the Cloud” by Bill Havanki

“Moving Hadoop in the Cloud” Book review: This book explains how to install, use, and manage cloud-born clusters efficiently. It will teach how to architect clusters that work with cloud-provider features to avoid pitfalls, and to take full advantage of these services. You’ll also compare the Amazon, Google, and Microsoft clouds, and learn how to set up clusters in each of them. Learn how Hadoop clusters run in the cloud, the problems they can help you solve, and their potential drawbacks dive into the common concepts of cloud providers, including compute capabilities, networking and security, and storage. Build a functional Hadoop cluster on cloud infrastructure, and learn what the major providers require are also included in the book. It contains use cases for high availability, relational data with Hive, and complex analytics with Spark Get patterns and practices for running cloud clusters, from designing for price and security to dealing with maintenance.

10. “Hadoop for Dummies” by Roman B Melnyk and Bruce Brown

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“Hadoop for Dummies” by Roman B Melnyk and Bruce Brown Book Review: Large information has become huge business, and organizations and associations of all sizes are battling to discover approaches to recover significant data from their enormous informational collections with getting overpowered. Enter Hadoop and this straightforward For Dummies control. Hadoop for Dummies assists perusers with understanding the estimation of enormous information, present a business defense for utilizing Hadoop, explore the Hadoop environment and construct and oversee Hadoop applications and bunches.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Hadoop – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Hadoop" so that one can readily see the list of top books on "Hadoop" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Hadoop subject, please let us know.

Sanfoundry Global Education & Learning Series – Best Reference Books!

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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