Hadoop in Practice by Alex Holmes

Hadoop in Practice, Second Edition is a comprehensive guide that provides over 100 tested techniques for analyzing real-time streams, moving data securely, machine learning, and managing large-scale clusters using Hadoop. This revised edition covers changes and new features in the Hadoop core architecture, including MapReduce 2 and YARN. It also includes brand new chapters on integrating Kafka, Impala, and Spark SQL with Hadoop, as well as updated techniques for Flume, Sqoop, and Mahout. The book is designed to be practical and up-to-date, making it an essential resource for anyone looking to enhance their Hadoop skills. /n/n The book is structured into four parts: Background and Fundamentals, Data Logistics, Big Data Patterns, and Beyond MapReduce. It covers a wide range of topics, from data serialization and organizing data in HDFS to applying MapReduce patterns and utilizing data structures and algorithms at scale. Additionally, it provides insights into SQL on Hadoop, writing YARN applications, and predictive analytics using Mahout and RR. The author, Alex Holmes, is a software engineer specializing in large-scale Hadoop projects, ensuring that the techniques presented are both practical and effective.

Reviews

Manning Publications · 2025-12-24

Great 4.20

The book collects 85 battle-tested examples and presents them in a problem/solution format, balancing conceptual foundations with practical recipes. It is highly recommended for its practical and useful techniques.

Manning Publications highlights that 'Hadoop in Practice' is a valuable resource for anyone working with Hadoop. The book's problem/solution format makes it easy to find and apply the techniques needed for specific challenges. With 85 battle-tested examples, it covers a wide range of topics, making it a comprehensive guide for both beginners and experienced professionals. The reviewer appreciates the balance between conceptual foundations and practical recipes, which is essential for anyone looking to implement Hadoop effectively. The book's examples are not just theoretical but are derived from real-world problems, making it a valuable asset for anyone looking to master Hadoop.

Quick quotes

Collects 85 battle-tested examples and presents them in a problem/solution format.

Balances conceptual foundations with practical recipes.

A valuable resource for anyone working with Hadoop.

Analytics Vidhya · 2019-06-25

Excellent 4.50

This book is considered one of the best practice books on Hadoop, featuring 85 examples in a Q&A format. It is highly recommended for those looking to gain practical knowledge in Hadoop.

Analytics Vidhya praises 'Hadoop in Practice' as an excellent resource for practical learning. The book's Q&A format makes it easy to understand and apply the concepts in real-world scenarios. With over 85 examples, it covers a wide range of topics, making it a comprehensive guide for both beginners and experienced professionals. The reviewer particularly appreciates the practical approach, which is essential for anyone working with big data. The book's examples are not just theoretical but are derived from real-world problems, making it a valuable asset for anyone looking to master Hadoop.

Quick quotes

This is probably the best practice book on Hadoop.

It features 85 examples on Hadoop in Q & A format.

A valuable asset for anyone looking to master Hadoop.

Matthew Rathbone's Blog · Matthew Rathbone · 2013-05-31

Great 4.00

The book is a more advanced guide to running Hadoop, with detailed chapters on moving data and other practical applications. It is highly recommended for those looking to deepen their understanding of Hadoop.

Matthew Rathbone's blog post highlights that 'Hadoop in Practice' is a great resource for those who are already familiar with the basics of Hadoop. The book delves into more advanced topics, such as moving data in and out of Hadoop, which are crucial for real-world applications. Rathbone appreciates the practical approach of the book, making it a valuable guide for anyone looking to implement Hadoop in their projects. The examples provided are not just theoretical but are battle-tested, giving readers confidence in their applicability. Overall, it's a must-read for those aiming to master Hadoop and tackle big data challenges effectively.

Quick quotes

A slightly more advanced guide to running Hadoop.

It includes chapters that detail how to best move data.

Great resource for those familiar with the basics of Hadoop.

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10 Best Recommended Books To Learn Hadoop