Research Paper (postgraduate) from the year 2018 in the subject Computer Science – Internet, New Technologies, grade: 8.78, , course: MCA, language: English, abstract: Development of big data and Io T is rapidly increasingly and affecting all the major technologies and the business by increasing the benefits for the individual and organisations. The increasing growth of data of Io T devices has played a major role for use of Big Data. Big data is categorize into three aspects (a) Variety (b) Volume (c) Velocity. These categories are introduced by Gartner to describe the elements of big data challenges. Various opportunities are presented by the capability to analyze and utilize huge amounts of Io T data, including applications in smart cities, smart transport and grid systems, energy smart meters, and remote patient healthcare monitoring devices.
The more popularity of Internet of Things day by day has made a big data analytics challenging because of the processing and collection of data through different sensors in the Io T network. The data are totally different from normal big data collected through systems in terms of characteristics because of the various sensors and objects involved during data collection, which include heterogeneity, noise, variety, and rapid growth.
Über den Autor
20+ Years of strong teaching experience for Under Graduate and Post Graduate courses of Computer Science across several colleges of Patna University and NIT Patna, Bihar, IND.
Written several Computer Science academic books ( http://www.amazon.com/author/ajitsingh) and published several research papers across the World.
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