In this post, we have prepared a curated top list of reading recommendations for beginners and experienced. This hand-picked list of the best Hadoop books and tutorials can help fill your brain this June and ensure you’re getting smarter. We have also mentioned the brief introduction of each book based on the relevant Amazon or Reddit descriptions.
- Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale (2015)
- Data Analytics with Hadoop: An Introduction for Data Scientists (2016)
- Hadoop 2 Quick-Start Guide (2015)
- Hadoop in 24 Hours (2017)
- Hadoop Application Architectures: Designing Real-World Big Data Applications (2015)
- Hadoop For Dummies (For Dummies Series) (2014)
- Learn Hadoop in 1 Day: Master Big Data with this complete Guide (2017)
- Hadoop Operations: A Guide for Developers and Administrators (2012)
- Hadoop in Action (2010)
- Hadoop BIG DATA Interview (2017)
- Hadoop in Practice (2014)
Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale (2015)
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.
Author(s): Tom White
Data Analytics with Hadoop: An Introduction for Data Scientists (2016)
Ready to use statistical and machine-learning techniques across large data sets? 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.
Author(s): Benjamin Bengfort, Jenny Kim
Hadoop 2 Quick-Start Guide (2015)
With Hadoop 2.x and YARN, Hadoop moves beyond MapReduce to become practical for virtually any type of data processing. Hadoop 2.x and the Data Lake concept represent a radical shift away from conventional approaches to data usage and storage. Hadoop 2.x installations offer unmatched scalability and breakthrough extensibility that supports new and existing Big Data analytics processing methods and models.
Author(s): Douglas Eadline
Hadoop in 24 Hours (2017)
Apache Hadoop is the technology at the heart of the Big Data revolution, and Hadoop skills are in enormous demand. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you’ll need to deploy each key component of a Hadoop platform in your local environment or in the cloud, building a fully functional Hadoop cluster and using it with real programs and datasets.
Author(s): Jeffrey Aven
Hadoop Application Architectures: Designing Real-World Big Data Applications (2015)
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.
Author(s): Mark Grover, Ted Malaska
Hadoop For Dummies (For Dummies Series) (2014)
Let Hadoop For Dummies help harness the power of your data and rein in the information overload. 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
Author(s): Dirk deRoos
Learn Hadoop in 1 Day: Master Big Data with this complete Guide (2017)
Hadoop has changed the way large data sets are analyzed, stored, transferred, and processed. At such low cost, it provides benefits like supports partial failure, fault tolerance, consistency, scalability, flexible schema, and so on. It also supports cloud computing. More and more number of individuals are looking forward to mastering their Hadoop skills. While initiating with Hadoop, most users are unsure about how to proceed with Hadoop.
Author(s): Krishna Rungta
Hadoop Operations: A Guide for Developers and Administrators (2012)
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.
Author(s): Eric Sammer
Hadoop in Action (2010)
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.
Author(s): Chuck Lam
Hadoop BIG DATA Interview (2017)
Hadoop BIG DATA Interview Questions You’ll Most Likely Be Asked is a perfect companion to stand ahead above the rest in today’s competitive job market. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build an IT career.
Author(s): Vibrant Publishers
Hadoop in Practice (2014)
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.
Author(s): Alex Holmes
Best Books to Learn Hadoop
We highly recommend you to buy all paper or e-books in a legal way, for example, on Amazon. But sometimes it might be a need to dig deeper beyond the shiny book cover. Before making a purchase, you can visit resources like Library Genesis and download some Hadoop books mentioned below at your own risk. Once again, we do not host any illegal or copyrighted files, but simply give our visitors a choice and hope they will make a wise decision.
BIG DATA ANALYTICS AND HADOOP SOLUTIONS WITH SAS TOOLS
Author(s): Cesar Perez Lopez
ID: 3195015, Publisher: , Year: 2022, Size: 3 Mb, Format: epub
Data Processing and Modeling with Hadoop: Mastering Hadoop Ecosystem Including ETL, Data Vault, DMBok, GDPR, and Various Data-Centric Tools (English Edition)
Author(s): Vinicius Aquino do Vale
ID: 3137017, Publisher: BPB Publications, Year: 2021, Size: 3 Mb, Format: epub
Big Data Using Hadoop and Hive
Author(s): Nitin Kumar
ID: 3178866, Publisher: Mercury Learning and Information, Year: 2021, Size: 5 Mb, Format: pdf
Please note that this booklist is not final. Some books are absolutely chart-busters according to Chicago Tribune, others are composed by unknown authors. On top of that, you can always find additional tutorials and courses on Coursera, Udemy or edX, for example. Are there any other relevant links you could recommend? Leave a comment if you have any feedback on the list.