The 11 Best Hadoop Books on Our 2023 Reading List

Our editors have compiled this directory of the best Hadoop books based on Amazon user reviews, rating, and ability to add business value.

There are loads of free resources available online (such as Solutions Review’s Data Management Software Buyer’s Guide, vendor comparison map, and best practices section) and those are great, but sometimes it’s best to do things the old fashioned way. There are few resources that can match the in-depth, comprehensive detail of one of the best Hadoop books.

The editors at Solutions Review have done much of the work for you, curating this comprehensive directory of the best Hadoop books on Amazon. Titles have been selected based on the total number and quality of reader user reviews and ability to add business value. Each of the books listed in the first section of this compilation have met a minimum criteria of 15 reviews and a 4-star-or-better ranking.

Below you will find a library of titles from recognized industry analysts, experienced practitioners, and subject matter experts spanning the depths of Hadoop application architecture all the way to data analytics with Hadoop. This compilation includes publications for practitioners of all skill levels.

The Best Hadoop Books

Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“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. Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark.”

Hadoop For Dummies

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters.”

Hadoop Application Architectures: Designing Real-World Big Data Applications

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Get expert guidance on architecting end-to-end data management solutions with Apache Hadoop. While many sources explain how to use various components in the Hadoop ecosystem, this practical book takes you through architectural considerations necessary to tie those components together into a complete tailored application, based on your particular use case. To reinforce those lessons, the book’s second section provides detailed examples of architectures used in some of the most commonly found Hadoop applications.”

Programming Hive: Data Warehouse and Query Language for Hadoop

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem. This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem.”

Data Analytics with Hadoop: An Introduction for Data Scientists

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce. Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management.”

Hadoop in Practice: Includes 104 Techniques

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Hadoop in Practice, Second Edition provides over 100 tested, instantly useful techniques that will help you conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN and integrating Kafka, Impala, and Spark SQL with Hadoop. You’ll also get new and updated techniques for Flume, Sqoop, and Mahout, all of which have seen major new versions recently.”

Hadoop in Action

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Hadoop in Action teaches readers how to use Hadoop and write MapReduce programs. The intended readers are programmers, architects, and project managers who have to process large amounts of data offline. Hadoop in Action will lead the reader from obtaining a copy of Hadoop to setting it up in a cluster and writing data analytic programs. The book begins by making the basic idea of Hadoop and MapReduce easier to grasp by applying the default Hadoop installation to a few easy-to-follow tasks.”

Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“In Expert Hadoop Administration, leading Hadoop administrator Sam R. Alapati brings together authoritative knowledge for creating, configuring, securing, managing, and optimizing production Hadoop clusters in any environment. Drawing on his experience with large-scale Hadoop administration, Alapati integrates action-oriented advice with carefully researched explanations of both problems and solutions. He covers an unmatched range of topics and offers an unparalleled collection of realistic examples.”

Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Hadoop 2 Quick-Start Guide is the first easy, accessible guide to Apache Hadoop 2.x, YARN, and the modern Hadoop ecosystem. Building on his unsurpassed experience teaching Hadoop and Big Data, author Douglas Eadline covers all the basics you need to know to install and use Hadoop 2 on personal computers or servers, and to navigate the powerful technologies that complement it. Eadline concisely introduces and explains every key Hadoop 2 concept, tool, and service, illustrating each with a simple “beginning-to-end” example.”

MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you’re using. Each pattern is explained in context, with pitfalls and caveats clearly identified to help you avoid common design mistakes when modeling your big data architecture.”

Hadoop Operations: A Guide for Developers and Administrators

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“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.”

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