Data Analytics for the Internet of Things

As the numbers of buildings, cars, appliances and other things get connected to the internet, and the data generated by this connectivity grows in volume, And yet, the variety and sheer scope of the data available almost defies interpretation and analysis.  The task is not only one of analyzing data from different platforms, but the more difficult task of analyzing data coming from widely disparate devices.

Data showing driving conditions in a particular area, for example, can be distorted by a myriad of non relevant events. The same goes for liveability conditions in a particular type of building. The volume of IoT data is so great that is can't even be analyzed on the cloud.

Data analytics is attempting to address this data, but it has been recognized that there needs to be some sort or order brought into the data and the analytical approach taken.

A team of researchers supported by the National Science Foundation in the US is looking into this issue and is charged with developing a framework for conducting data analytics across a variety of IoT devices. The framework will consist of an organization of software that will facilitate communications and research into the data. The research is led by Stacy Patterson, the Clare Boothe Luce Assistant Professor of Computer Science at Rensselaer Polytechnic Institute (RPI). Read more at: http://phys.org/news/2016-03-internet-thingsa-framework-analytics-digital.html#jCp