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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    Abstract

    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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    The material included in this document is in DRAFT form and is provided 'as is' without warranty of any kind. IBM is not responsible for the accuracy or completeness of the material, and may update the document at any time. The final, published document may not include any, or all, of the material included herein. Client assumes all risks associated with Client's use of this document.