Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.
As Big Data Made Easy: A Working...
Capitalist Pigs: Pigs, Pork, and Power in America
Pigs are everywhere in United States history. They cleared frontiers and built cities (notably Cincinnati, once known as Porkopolis), served as an early form of welfare, and were at the center of two nineteenth-century “pig wars.” American pork fed the hemisphere; lard literally greased the wheels of...
Tap your unstructured Big Data and empower your business using the Hadoop distribution from Windows
Architect a Hadoop solution with a modular design for data collection, distributed processing, analysis, and reporting
Build a multi-node Hadoop cluster on Windows servers...
Hadoop MapReduce v2 Cookbook Second Edition
Explore the Hadoop MapReduce v2 ecosystem to gain insights from very large datasets
About This Book
Process large and complex datasets using next generation Hadoop
Install, configure, and administer MapReduce programs and learn what's new in MapReduce v2
More than 90...
Hadoop: The Definitive Guide
Discover how Apache Hadoop can unleash the power of your data. This comprehensive resource shows you how to build and maintain reliable, scalable, distributed systems with the Hadoop framework -- an open source implementation of MapReduce, the algorithm on which Google built its empire. Programmers will find details for analyzing...
This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged application—making it easy for you to experiment with new datasets.
Programming Pig introduces...
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