Why Big Data and Data Analytics for Smart City

One of the industries with the quickest rate of growth, big data is pushing the envelope of gathering and analyzing information in data processing. More organizations are looking for methods to use big data. From genomics to GIS, web commerce to retail provisions, community networking sites to interactive media, it crosses a lot of commercial, community service sectors and power grid administration to traffic control. Rapidly evolving novel solutions necessitate an objective method to evaluate their cost, applicability, and efficacy, in other words, it's getting more and more important to have a set of big data benchmarks. Applications of big data are becoming one of the most prevalent ones over the past years. The purpose of big data systems is to analyze vast volumes of data from multiple sources from a perspective variety, provide unique values, and then discover innovative insights. There is a strong and rising demand for the computing environment that accelerates as well as scale-out big data applications due to the exceptionally large amount of data that big data apps manage in comparison to conventional applications. The fact that big data applications' behaviors or attributes are not yet well defined, however, is a severe issue.

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