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Turning Big Data into Actionable Information with IBM InfoSphere Streams

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Published on 30 January 2013, updated 23 August 2013

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IBM Form #: TIPS0948

Authors: Mike Ebbers

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    As the amount of data that is available to enterprises and organizations increases, more companies are looking to turn this data into actionable information and intelligence in real time. To address these requirements, applications must be able to analyze potentially enormous volumes and varieties of continuous data streams to provide decision makers with critical information almost instantaneously.

    By implementing a big data platform, your organization can tackle complex problems that it previously could not solve by using a traditional infrastructure. IBM® InfoSphere® Streams provides a development platform and runtime environment where you can develop applications that ingest, filter, analyze, and correlate potentially massive volumes of continuous data streams. These data streams are based on defined, proven, and analytical rules that alert you to take appropriate action, all within an appropriate time frame for your organization. This IBM Redbooks® Solution Guide provides an overview of the InfoSphere Streams solution architecture and includes usage scenarios.



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