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Collecting and Processing Big Data from Mobile Technologies

Student: Michlits Ren

Supervisor: Evgeny Koucheryavy

Faculty: Graduate School of Business

Educational Programme: Big Data Systems (Master)

Year of Graduation: 2017

Mobile technologies are generating terabytes of data every day. Currently, most applications of Big Data are using a big backend environment with servers and a lot of infrastructure. Mobile devices which are currently deployed worldwide, that have processing power, communication interfaces and storage, are usually not used to their full potential. Their resources could be used for addressing the Big Data issue and the need for more resources to process data. In addition, mobile devices bring challenges when it comes to collection and transmitting data to dedicated nodes that are responsible for computing information out of the received data. Insights, which are developed in this paper, will lead to technology for mobile computing, they can be also adapted to stationary solutions to add value to the current infrastructure. Mobility is becoming more and more popular and the devices are becoming more powerful which opens new possibilities for all kinds of utilization.

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