IBM Journal of Research and Development
Issue 3/4 • Date May-July 2013
Massive-Scale Analytics
"Big Data" refers to large data sets that are beyond the capability of traditional software tools to quickly manage, process, and analyze. The development of techniques for gaining insight from such information provides potential benefits in such arenas as business, science, and public policy. This special issue of the IBM Journal emphasizes applications, analytics, software, and hardware technologies that form the foundational building blocks for massive-scale analytics and the processing of Big Data.
"Big Data" refers to large data sets that are beyond the capability of traditional software tools to quickly manage, process, and analyze. The development of techniques for gaining insight from such information provides potential benefits in such arenas as business, science, and public policy. This special issue of the IBM Journal emphasizes applications, analytics, software, and hardware technologies that form the foundational building blocks for massive-scale analytics and the processing of Big Data.
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Cover 1
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PDF (1380 KB)
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Cover 2
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PDF (6 KB)
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Table of Contents
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Preface: Massive-scale analytics
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PDF (60 KB)
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Governing Big Data: Principles and practices
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PDF (2548 KB)
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A platform for eXtreme Analytics
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PDF (950 KB)
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Novel document detection for massive data streams using distributed dictionary learning
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Visual analysis of large-scale network anomalies
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Cover 3
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PDF (6 KB)
Aims & Scope
The IBM Journal of Research and Development is a peer-reviewed technical journal, published bimonthly, which features the work of authors in the science, technology and engineering of information systems.
Meet Our Editors
Editor-in-Chief
John J. Ritsko
IBM T. J. Watson Research Center
