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Best Books to Learn Hadoop

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.

1. Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale (2015)

Best Books to Learn Hadoop

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

2. Data Analytics with Hadoop: An Introduction for Data Scientists (2016)

Best Books to Learn Hadoop

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. Data scientists and analysts will learn how to perform a wide range of techniques, from writing…

Author(s): Benjamin Bengfort, Jenny Kim

3. Hadoop 2 Quick-Start Guide (2015)

Best Books to Learn Hadoop

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. Hadoop® 2 Quick-Start Guide is the first easy, accessible guide to Apache Hadoop 2.x, YARN, and the modern…

Author(s): Douglas Eadline

4. Hadoop in 24 Hours (2017)

Best Books to Learn Hadoop

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. Each short, easy lesson builds on all that’s come before, helping you master all of Hadoop’s essentials, and extend it to meet your unique…

Author(s): Jeffrey Aven

5. Hadoop Application Architectures: Designing Real-World Big Data Applications (2015)

Best Books to Learn Hadoop

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

6. Hadoop For Dummies (For Dummies Series) (2014)

Best Books to Learn Hadoop

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

7. Learn Hadoop in 1 Day: Master Big Data with this complete Guide (2017)

Best Books to Learn Hadoop

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. They are not aware of what are the pre-requisite or data structure they should be…

Author(s): Krishna Rungta

8. Hadoop Operations: A Guide for Developers and Administrators (2012)

Best Books to Learn Hadoop

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. Rather than run through all possible scenarios, this pragmatic…

Author(s): Eric Sammer

9. Hadoop in Action (2010)

Best Books to Learn Hadoop

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…

Author(s): Chuck Lam

10. Hadoop BIG DATA Interview (2017)

Best Books to Learn Hadoop

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. This book puts the interviewee in the driver’s seat and helps them steer their way to impress the interviewer. The following is included in this book: a) 200 Hadoop BIG DATA Interview Questions, Answers and Proven Strategies for getting hired as an IT professional…

Author(s): Vibrant Publishers

11. Hadoop in Practice (2014)

Best Books to Learn Hadoop

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. In short, this is the most practical, up-to-date…

Author(s): Alex Holmes

You might also be interested in: Ruby, Javascript, JavaFX, Codeigniter, Nodejs, Azure, Vaadin, MongoDB, Neo4j, Elasticsearch Books.

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 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.

Moving Hadoop to the Cloud

Author(s): Bill Havanki
Publisher: O'Reilly, Year: 2017, Size: 2 Mb, Ext: pdf
ID: 1608823

Pro Hadoop Data Analytics : Designing and Building Big Data Systems using the Hadoop Ecosystem

Author(s): Kerry Koitzsch
Publisher: Apress, Year: 2017, Size: 22 Mb, Ext: pdf
ID: 1624962

Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem

Author(s): Vinit Yadav
Publisher: Apress, Year: 2017, Size: 5 Mb, Ext: pdf
ID: 1697929

Hadoop in the Enterprise. Architecture. A Guide to Successful Integration

Author(s): Jan Kunigk, Lars George, Paul Wilkinson, Ian Buss
Publisher: O'Reilly Media, Year: 2017, Size: 13 Mb, Ext: pdf
ID: 2069341

Hadoop in 24 Hours, Sams Teach Yourself

Author(s): Jeffrey Aven
Publisher: , Year: 2017, Size: 20 Mb, Ext: epub
ID: 2181749

Deep learning with Hadoop : build, implement and scale distributed deep learning models for large-scale datasets

Author(s): Dev, Dipayan
Publisher: Packt Publishing, Year: 2017, Size: 9 Mb, Ext: epub
ID: 2188034

Hadoop: Data Processing and Modelling (source code)

Author(s): Tanmay Deshpande, Sandeep Karanth, Gerald Turkington
Publisher: Packt Publishing, Year: 2017, Size: 473 Kb, Ext: zip
ID: 2203366

Hadoop: Data Processing and Modelling

Author(s): Tanmay Deshpande, Sandeep Karanth, Gerald Turkington
Publisher: Packt Publishing, Year: 2017, Size: 12 Mb, Ext: pdf
ID: 2203367

Programming Pig Dataflow Scripting with Hadoop

Author(s): Alan Gates, Daniel Dai
Publisher: O’Reilly Media, Year: 2016, Size: 12 Mb, Ext: pdf
ID: 1576585

Practical Hive: A Guide to Hadoop's Data Warehouse System

Author(s): Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard
Publisher: Apress, Year: 2016, Size: 9 Mb, Ext: pdf
ID: 1579546

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