I came across TerraEchos recently, an IBM business partner with a set of capabilities that illustrates the potential Big Data Analytics provides.
TerraEchos describe themselves as a company that extract meaningful information from massive amounts of complex streaming data on the fly, and simultaneously deliver insights, decisions and actions on the fly - at the precise moment they are needed. This in my view is the promise of Big Data Analytics.
As you can see from the diagram to the right, their Streaming Analytics capability requires significantly less time to analyze data.
Some of the Big Data Analytics capabilities the TerraEcho platform exhibits includes the ability to analyze data irrespective of the amount, speed, or source of digital data, including input from any kind of cyber or physical sensor, in both structured and unstructured form. It is being positioned as suitable for organization that requires the processing, analysis, and visualization of multiple or complex streaming data sources.
One use case that caught my attention was a sophisticated sound classification system that can be used for real-time perimeter security control. Thousands of sensors buried underground can be used to collect and classify sounds. The system can differentiate between a whisper of the wind and a human voice, or the sound of a human footstep from a running deer. If can even identify or affirm sounds that are difficult for humans to pick up.
TerraEcho has partnered with IBM to deliver these capabilities. IBM's PureData platform has been designed to simplify systems for delivering data services, making the deployment and analysis of Big Data more accessible.
TerraEchos describe themselves as a company that extract meaningful information from massive amounts of complex streaming data on the fly, and simultaneously deliver insights, decisions and actions on the fly - at the precise moment they are needed. This in my view is the promise of Big Data Analytics.
Some of the Big Data Analytics capabilities the TerraEcho platform exhibits includes the ability to analyze data irrespective of the amount, speed, or source of digital data, including input from any kind of cyber or physical sensor, in both structured and unstructured form. It is being positioned as suitable for organization that requires the processing, analysis, and visualization of multiple or complex streaming data sources.
One use case that caught my attention was a sophisticated sound classification system that can be used for real-time perimeter security control. Thousands of sensors buried underground can be used to collect and classify sounds. The system can differentiate between a whisper of the wind and a human voice, or the sound of a human footstep from a running deer. If can even identify or affirm sounds that are difficult for humans to pick up.
TerraEcho has partnered with IBM to deliver these capabilities. IBM's PureData platform has been designed to simplify systems for delivering data services, making the deployment and analysis of Big Data more accessible.
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