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: $29.99 | Publisher: Packt Publishing | Release: 2015
by John Zablocki
Couchbase is an extremely fast, flexible, and highly scalable database that applies MapReduce techniques and patterns to find data. Whether you need to store unstructured data or be able to store and retrieve vast amounts of data quickly, Couchbase Server is your database!This book gives you enough information to successfully set up a Couchbase cluster and provides details on basic server maintenance. It th...
Price: $20.68 | Publisher: Packt Publishing | Release: 2015
by Adam Boduch
Lo-Dash Essentials walks you through the Lo-Dash utility library, which promises consistency and performance in JavaScript development. This book looks into the most common functions and the various contexts in which they're used. You'll first start with object types and their properties, then you'll dive into larger development patterns, such as MapReduce, and how to chain functionality toge...
Price: $44.99 | Publisher: Packt Publishing | Release: 2015
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 develop new applications and adapt existing code to fully leverage th...
Price: $4.49 | Publisher: Addison-Wesley | Release: 2014
Pro Apache Hadoop, 2nd Edition
by Sameer Wadkar, Madhu Siddalingaiah, Jason Venner
Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop - the framework of big data. Revised to cover Hadoop 2.0, the book covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form of HDFS Federations. All the old content has been revised too, giving the latest on the ins and outs of MapReduce, cluster design, ...
Price: $22.99 | Publisher: Apress | Release: 2014
Hadoop in Practice, 2nd Edition
by Alex Holmes
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...
Price: $30.77 | Publisher: Manning | Release: 2014
by Sandeep Karanth
Hadoop is synonymous with Big Data processing. Its simple programming model, "code once and deploy at any scale" paradigm, and an ever-growing ecosystem makes Hadoop an all-encompassing platform for programmers with different levels of expertise.This book explores the industry guidelines to optimize MapReduce jobs and higher-level abstractions such as Pig and Hive in Hadoop 2.0. Then, it d...
Price: $49.99 | Publisher: Packt Publishing | Release: 2014
by Nishant Garg
With an example-oriented approach, this book begins by providing you with a step-by-step learning process to effortlessly set up HBase clusters and design schemas. Gradually, you will be taken through advanced data modeling concepts and the intricacies of the HBase architecture. Moreover, you will also get acquainted with the HBase client API and HBase shell. Essentially, this book aims to provide you with ...
Price: $30.44 | Publisher: Packt Publishing | Release: 2014
Seven Concurrency Models in Seven Weeks
by Paul Butcher
Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks de...
Price: $28.49 | Publisher: The Pragmatic Programmers | Release: 2014
by Srinath Perera, Thilina Gunarathne
Learn to process large and complex data sets, starting simply, then diving in deep. Solve complex big data problems such as classifications, finding relationships, online marketing and recommendations. More than 50 Hadoop MapReduce recipes, presented in a simple and straightforward manner, with step-by-step instructions and real world examples....
Price: $29.99 | Publisher: Packt Publishing | Release: 2013