Using Big Data and Real-Time Analytics to Support Smart City Initiatives

The real-time city? Big data and smart urbanism

Smart cities’ is a term that has gained traction in academia, business and government to describe cities that, on the one hand, are increasingly composed of and monitored by pervasive and ubiquitous computing and, on the other, whose economy and governance is being driven by innovation, creativity and entrepreneurship, enacted by smart people. This paper focuses on the former and, drawing on a ...

Real-Time Big Data Stream Analytics

Big Data is a new term used to identify datasets that we cannot manage with current methodologies or data mining software tools due to their large size and complexity. Big Data mining is the capability of extracting useful information from these large datasets or streams of data. New mining techniques are necessary due to the volume, variability, and velocity, of such data. MOA is a software fr...

Real-Time IoT Stream Processing and Large-scale Data Analytics for Smart City Applications

Big data, smart cities and city planning

I define big data with respect to its size but pay particular attention to the fact that the data I am referring to is urban data, that is, data for cities that are invariably tagged to space and time. I argue that this sort of data are largely being streamed from sensors, and this represents a sea change in the kinds of data that we have about what happens where and when in cities. I describe ...

Using 'Big Data' for analytics and decision support

People and the computers they use are generating large amounts of varied data. The phenomenon of capturing and trying to use all of the semi-structured and unstructured data has been called by vendors and bloggers "Big Data". Organizations can capture and store data of many types from almost any source, but capturing and storing data only adds value when it has a useful purpose. Big Data must b...