The Hadoop ecosystem is vast and may take long time to learn bigdata and start implement applications therefore people new to big data Hadoop technology must choose right book to start with. Here are some of Best Hadoop books you may want to consider.
The Hadoop Bigdata has a huge demand in the domains like finance, Insurance, Banking, social networking and many other platforms that deal with very large data sets. The Hadoop experts are in great demand in industries which needs to handle and big, complicated data sets. A working knowledge of Hadoop would get you lots of opportunities in your career.
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Related Reading: How to Learn Apache Hadoop
Below are some of important books to be considered when you start working on Hadoop.
Author – Tom White
It tells us useful methods to build, maintain reliable, scalable and distributed systems with Apache Hadoop. It explains HDFS and Mapreduce in detail. This book delivers good results when read before starting to build application. Beginners will find it hard to understand at first. But, you will find it easy to understand once you continue reading. If anybody reading from data background will find it fairly easy to understand. This is one of Best Hadoop books.
Hadoop Application Architectures
Author- Mark Grover
This book delivers 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 application, based on your particular use case. If you want to build the Data warehouse application on the Hadoop than this is one of Best Hadoop books for you to start with
Author – Edward Capriolo , Dean Wampler and Jason Rutherglen
This book 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.
Programming Hive provides the reader with a low down on Hive. The book also takes us through the SQL dialect that is used in Hive, HiveQL. You can also quickly learn to analyze large sets of data using this book.
Hadoop Operations: A Guide for Developers and Administrators
Author – Eric Sammer.
If you are maintaining large and complex Hadoop clusters, this book is a must. This book explains you running Hadoop in production, from planning, installing and configuring the system to providing ongoing maintenance. The book will definitely impress the Hadoop beginners and advanced Hadoop users as well as all aspects of the software and related technologies are explained in details. Rather than run through all possible scenarios, this pragmatic operations guide calls out what works, as demonstrated in critical deployments
Hadoop in Practice
Author – Alex Holmes
This book provides a collection of tested, instantly useful techniques for analyzing real-time streams, moving data securely, machine learning, managing large-scale clusters and taming big data using Hadoop.
This book covers changes and new features in Hadoop, including MapReduce 2 and YARN. You get up hands-on best practices for integrating Spark, Kafka and Cloudera Impala with Hadoop and get new and updated techniques for the latest versions of Flume, Sqoop and Mahout. This is one of the Best Hadoop books and most practical, up-to-date coverage of Hadoop ecosystem available.
MapReduce Design Patterns
Author – Donald Miner.
This books assumes that reader has basic knowledge of Hadoop and wants to learn bigdata in depth. It is best suited for advanced user to master MapReduce algorithms. It describes various uses of MapReduce programming with Hadoop ecosystem. It contains various techniques helpful to solve many Hadoop problems.
This handy guide brings together a unique collection of valuable MapReduce patterns that will save your time and effort regardless of the domain, language, or development framework you’re using.
Professional Hadoop Solutions
Author – Boris Lublinsky and Kevin T. Smith
This is one of best book to learn Bigdata. This book is a practical, detailed guide to building and implementing those solutions, with code-level instruction.
It covers storing data with HDFS and Hbase, processing data with MapReduce, and automating data processing with Oozie. This book also explains Hadoop security, running Hadoop with Amazon Web Services, best practices, and automating Hadoop processes in real time are also covered in depth.
As always Happy Reading 🙂
Awesome Stuff Vithal.
Personally, I like definitive guide the most but others are also awesome.