MapReduce Books



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Practical TLA+

Practical TLA+

by Hillel Wayne

Learn how to design complex, correct programs and fix problems before writing a single line of code. This book is a practical, comprehensive resource on TLA+ programming with rich, complex examples. Practical TLA+ shows you how to use TLA+ to specify a complex system and test the design itself for bugs.You'll learn how even a short TLA+ spec can find critical bugs. Start by getting your feet wet with an exa...

Price:  $23.93  |  Publisher:  Apress  |  Release:  2018

Seven Databases in Seven Weeks, 2nd Edition

Seven Databases in Seven Weeks, 2nd Edition

by Luc Perkins, Jim Wilson, Eric Redmond

Data is getting bigger and more complex by the day, and so are your choices in handling it. Explore some of the most cutting-edge databases available - from a traditional relational database to newer NoSQL approaches - and make informed decisions about challenging data storage problems. This is the only comprehensive guide to the world of NoSQL databases, with in-depth practical and conceptual introductions...

Price:  $25.00  |  Publisher:  The Pragmatic Programmers  |  Release:  2018

Apache Hadoop 3 Quick Start Guide

Apache Hadoop 3 Quick Start Guide

by Hrishikesh Karambelkar

Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS.The book begins with an overview of big data and Apache Hadoop. Then, you will set up a p...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2018

Sams Teach Yourself Hadoop in 24 Hours

Sams Teach Yourself Hadoop in 24 Hours

by Jeffrey Aven

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, ...

Price:  $31.99  |  Publisher:  SAMS Publishing  |  Release:  2017

Data Science with Java

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 explains the basic math theory behind each step of the data science proces...

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

Practical Hive

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 stored across your Hadoop environment. From deploying Hive on your hardwar...

Price:  $35.09  |  Publisher:  Apress  |  Release:  2016

Hadoop MapReduce v2 Cookbook, 2nd Edition

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 of Hadoop ecosystem projects including Hive, HBase, Pig, Mahout, Nutch...

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

Data Algorithms

Data Algorithms

by Mahmoud Parsian

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You'll learn how to implement the appropri...

Price:  $45.81  |  Publisher:  O'Reilly Media  |  Release:  2015

Learning Apache Mahout

Learning Apache Mahout

by Chandramani Tiwary

In the past few years the generation of data and our capability to store and process it has grown exponentially. There is a need for scalable analytics frameworks and people with the right skills to get the information needed from this Big Data. Apache Mahout is one of the first and most prominent Big Data machine learning platforms. It implements machine learning algorithms on top of distributed processing...

Price:  $35.99  |  Publisher:  Packt Publishing  |  Release:  2015

Fast Data Processing with Spark, 2nd Edition

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 (GraphX), and real-time analysis (Spark Streaming), it can be interactiv...

Price:  $23.99  |  Publisher:  Packt Publishing  |  Release:  2015

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