Hadoop MapReduce Cookbook

Hadoop MapReduce v2 Cookbook, 2nd Edition 

by Thilina Gunarathne

Starting with installing Hadoop YARN, MapReduce, HDFS, and other Hadoop ecosystem components, with this book, you will soon learn about many exciting topics such as MapReduce patterns, using Hadoop to solve analytics, classifications, online marketing, recommendations, and data indexing and searching. You will learn how to take advantage ...

Price:  $39.08  |  Publisher:  Packt Publishing  |  Release:  2015

Practical Hive 

by Scott Shaw, Andreas Francois Vermeulen, Ankur Gupta, David Kjerrumgaard

Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stor...

Price:  $35.66  |  Publisher:  Apress  |  Release:  2016

Data Science with Java 

by Michael Brzustowicz

Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz...

Price:  $27.33  |  Publisher:  O'Reilly Media  |  Release:  2017

Fast Data Processing with Spark 

by Holden Karau

Spark is a framework for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and inbuilt tools for interactive query analysis (Shark), large-scale graph processing and analysis (Bagel), and ...

Price:  $22.99  |  Publisher:  Packt Publishing  |  Release:  2013

Fast Data Processing with Spark, 2nd Edition 

by Krishna Sankar, Holden Karau

Spark is a framework used for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does, but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and built-in tools for interactive query analysis (Spark SQL), large-scale graph processing and analysis (G...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2015

Hadoop Real-World Solutions Cookbook 

by Jonathan R. Owens, Brian Femiano, Jon Lentz

Helping developers become more comfortable and proficient with solving problems in the Hadoop space. People will become more familiar with a wide variety of Hadoop related tools and best practices for implementation.Hadoop Real-World Solutions Cookbook will teach readers how to build solutions using tools such as Apache Hive, Pig, MapRedu...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2013

Apache Hadoop YARN 

by Arun C. Murthy, Vinod Kumar Vavilapalli, Doug Eadline, Joseph Niemiec, Jeff Markham

Apache Hadoop is helping drive the Big Data revolution. Now, its data processing has been completely overhauled: Apache Hadoop YARN provides resource management at data center scale and easier ways to create distributed applications that process petabytes of data. And now in Apache Hadoop YARN, two Hadoop technical leaders show you how to...

Price:  $4.49  |  Publisher:  Addison-Wesley  |  Release:  2014

Pro Hadoop 

by Jason Venner

You've heard the hype about Hadoop: it runs petabyte - scale data mining tasks insanely fast, it runs gigantic tasks on clouds for absurdly cheap, it's been heavily committed to by tech giants like IBM, Yahoo!, and the Apache Project, and it's completely open-source. But what exactly is it, and more importantly, how do you ...

Price:  $29.99  |  Publisher:  Apress  |  Release:  2009