Analysing GPS position data in the cloud

OData support
Dr. Kővári Bence András
Department of Automation and Applied Informatics

The cloud computing is exponentially growing. This huge wave will soon reach all branches of informatics, whether we talk about a simple webpage, the data storage or the artificial intelligence.

In my thesis, I provide an insight into Microsoft’s cloud, the Microsoft Azure and I present it in the perspective of storing, analysing and showing GPS location data. The spread of internet of things, the everyday smart-device usage needs will need the processing and the infrastructural support of an extraordinary amount of data. This dataset consists of a large number of location data, produced by the Global Positioning System. I show solutions created for this special type of data.

My task includes the review of the file formats used to store GPS position data. I also show the various methods of presenting feature data on the web using JavaScript. The document includes the usage of DocumentDB, the MSSQL server spatial data store capability and a solution of a machine learning problem in Microsoft Azure.


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