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E-Book Details It’s tough to argue with R as a high-quality, cross-platform, open source statistical software product—unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets.... (Continue reading)
E-Book Details This guide is an ideal learning tool and reference for Apache Pig, the programming language that helps you describe and run large data projects on Hadoop. With Pig, you can analyze data without having to create a full-fledged... (Continue reading)
E-Book Details If your organization is looking for a storage solution to accommodate a virtually endless amount of data, this book will show you how Apache HBase can fulfill your needs. As the open source implementation of Google BigTable architecture,... (Continue reading)
E-Book Details 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... (Continue reading)
E-Book Details 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... (Continue reading)
E-Book Details 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,... (Continue reading)