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The Value and Benefits of IBM InfoSphere BigInsights Running on IBM System z

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Published on 26 November 2014

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IBM Form #: TIPS1215

Authors: Gord Sissons, Simmonds Mark T. and Leith Victor

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    New technologies, such as Hadoop, use a map/reduce paradigm that enables parallel processing of massive volumes of differently structured data that is spread across potentially hundreds and thousands of nodes. This breaks down the analysis of seemingly unmanageable data volumes into small discrete analytics jobs, and then the reduced result sets are combined to provide the complete answer. This IBM® Redbooks® Solution Guide is intended to help organizations understand how IBM InfoSphere® BigInsights™ for Linux on System z® and other related technologies can help deliver improved business outcomes as part of a big data strategy.



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